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Banking institution is a critical part of any country’s economy, which provides a variety of services for an individual or a business entity. Due to vast availability of banks and their services, it is a cumbersome task for a person to choose a bank for his/her specific need. In this regard, we introduced a computational framework for ranking a set of banking institutions based on people’s opinion. The introduced framework is based on aspect-based sentiment analysis and multi-criteria decision making (MCDM) approaches. To evaluate our methodology, we developed a sentiment dataset comprising reviews on four Indian nationalized banks, whose quality is evaluated using 9 aspects/attributes. In order to come up with holistic ranking, we employed simple majority voting on ranking obtained using three multi-criteria decision making methods viz. analytic hierarchy process, VIKOR, and fuzzy multi-attribute decision making. We observed that final ranking obtained using our method has a strong resemblance with real-life outreach of selected four Indian banks.

Researchers have attempted to improve the project performance using principles like lean, just-in-time, total quality management, etc. However, little research is done to quantitatively assess project performance by using six sigma metrics. In this manuscript, we present weighted Rolled Throughput Yield (RTY), and hence six sigma, based methodology to evaluate the performance of projects, considering multiple criteria. Here, we consider a project decomposed into work breakdown structure of multiple levels. This approach considers seven criteria, classified under five groups namely, quality, cost, time, safety and environmental sustainability for evaluating the performance. Analytical Hierarchy Process (AHP) is used to assign weights to the criteria. RTY obtained is converted into a sigma value. The results are relevant from practical point of view since we consider various elements for performance evaluation, namely, a) complex series-parallel structure of processes in a project; b) hierarchical structure of the project; c) multiple criteria for Sigma Level (SL) computation; d) performance based on “correct first time” concept; e) flexible approach enabling the manager to add/delete the criteria depending on the need. We explain the developed methodology using two practical case studies. This is the first time that the particular six sigma metric is applied to assess the performance of construction and innovation projects. This approach is simple, lucid, yet effective, and we hope it will be useful to researchers and practicing managers alike.

In recent years, badminton sports have attracted the public and the majority of young students. Badminton training has received extensive attention in the field of sports. However, there is currently no effective and accurate method for effective analysis of badminton training. In order to solve this problem, this paper combines the training teaching theory and the representation training theory and applies the fuzzy algorithm to construct the fuzzy evaluation model based on the analytic hierarchy process. After the experiment, the test scores of the sports quality of the two groups of badminton special students were improved. Through the screening of the seven functional modes of action, it was found that the special students’ left and right symmetry differences were obvious, the lower limbs were not stable, the core area was weak, and the muscle control ability on both sides of the spine needed to be strengthened.

This paper has the objective of mapping the KPIs (Key Performance Indicators) that can be used to measure the level of service and the passenger’ characteristics that mostly impact the boarding procedure in airports. For that, two approaches are made: (i) structured interview with air transport specialists about performance indicators - analyzed through the Analytical Hierarchy Process (AHP) to prioritize the indicators, and (ii) regression analysis of permanent passenger’s satisfaction survey to identify the passenger’s profile. The results show a methodology that can be replicated and its application in three airports from the Multi-Airport System of Terminal Sao Paulo that compete against each other: Guarulhos International Airport (SBGR), Congonhas Airport - Deputy Freitas Nobre (SBSP) and Viracopos - Campinas International Airport (SBKP). Although results might vary for different contexts, for this specific application, it was found that time spent in airport queues can be used as a perceived level of service predictor for boarding. The passenger’ characteristics which mostly impact the perceived levels of service quality were: (i) ground access mode, (ii) family income and (iii) age. Regarding the airport’s level of service, SBSP, which is an airport that is not yet part of the government concessions, have the worst satisfaction rates both in “overall satisfaction” and in “perceived level of service in boarding procedures” when compared to the other two airports of this study. Also, the methodology used to select and evaluate KPIs in this study can help airports around the world that compete against each other to measure the financial return over investments associated with efforts to increase service levels.

With the intent of making up for the lack of gas supply reliability in evaluating the ability of the natural gas pipeline network to provide users with gas supply services, the concept of the user satisfaction for the natural gas pipeline network is proposed in this study. The definition of the user satisfaction is firstly illustrated and the relationship and difference between gas supply reliability and user satisfaction are clarified from two aspects of definition and mathematical expression. The evaluation index system of the user satisfaction for the natural gas pipeline network is then constructed, which includes six indicators, namely user satisfaction for gas amount, user satisfaction for gas pressure, user satisfaction for gas quality, user satisfaction for gas supply strategy, user satisfaction for emergency, and user satisfaction for gas price. The process of determining the weight of each indicator based on the analytic hierarchy process method is proposed. Moreover, considering the user characteristics, natural gas users are classified into four types, namely the users whose demand need to be fully satisfied, the users whose demand can be shed by a small amount, the users whose demand can be shed, and the users whose demand can be interrupted. The results of the weight of each indicator for the above four types of the natural gas users are calculated.

Pharmacy staff is a health service that needs to improve the quality of its service to answering customer expectations and demands. AHP (Analytical Hierarchy Process) and Rating Scale are powerful instruments as evaluation tools in management because they can assess the performance of the Hospital Pharmacy Installation. This study aims to analyze the performance of pharmacy officers in drug distribution using the AHP (Analytical Hierarchy Process) method and the Rating Scale at Bhayangkara Hospital Medan in 2020. This type of research is quantitative research. The research design uses a correlation study with a retrospective approach equipped with a sheet. Observations are in the form of a table list. The sample in this research is all officers involved in the distribution of drugs in the inpatient room of the Bhayangkara Hospital Medan who receive drug distribution from the pharmacy. The sampling technique in this study used a total sampling technique, namely taking a sample of the entire population in the study. Based on the sampling technique, the total sample was 57 people. The results of the cross table between the performance of pharmacy officers in drug distribution using the Rating Scale method in the Bhayangkara Hospital Installation in Medan in 2020, which shows the p-value for each variable, namely the quality p-value = 0.000, the quantity value p = 0.006, the use time value p = 0.000, the cooperation value p = 0.000. This study concludes that there is an influence between the performance of pharmacy officers in drug distribution using the AHP method and the Rating Scale at the Bhayangkara Hospital Installation in Medan in 2020. It is recommended that pharmaceutical officers further improve health services, especially paying attention to drug distribution for each installation in the hospital. Keywords: Performance, AHP, Rating Scale, Pharmacy Officers.

Nursing as a service area, is very labor-intensive, making nursing management particularly challenging due to the diverse experiences and educational backgrounds of employees in health care settings. Types of work, as well as workers, challenge nursing managers to create the type of environment that facilitates quality nursing practice. The nurse manager has specific responsibilities for the hospital and the staff. Staffs, in turn, have responsibilities towards both the organization and the manager. The purpose of this study was to analyze the effect of nurses’ performance using the Analytic Hierarchy Process (AHP) method and the Rating Scale method at the Royal Prima Hospital, Medan. This research is a descriptive-analytic study. The study was conducted from April to August 2020 at the Royal Prima Hospital Medan. The number of samples is 50 people. The results showed that there was a significant relationship between the performance of nurses using the Analytic Hierarchy Process (AHP) method and the Rating Scale at the Royal Prima Hospital Medan in 2020. The results of the multivariate test can be seen that the Analytic Hierarchy Process (AHP) method is the most influential. is a quantity. In the Rating Scale method, the most influential is quality. It is hoped that prioritization can be made to conduct a performance review to identify existing weaknesses so that improvements can be made continuously continuous for all services. Keywords: Royal Prima Hospital; Nurse Performance; AHP; Rating Scale Method

In order to study machine translation more in-depth, it is particularly important for the research of artificial intelligence with fuzzy algorithms to convert an unfamiliar language into a mature language. The neural network translation model has been developed in recent years and has achieved rich research results. Aiming at the current lack of accuracy of neural machine translation (NMT), which may cause ambiguity, this paper takes English machine translation as an example and proposes an artificial intelligence machine translation optimization model based on fuzzy theory. On the basis of NMT model translation, first the semantics of English machine translation is classified, a semantic selection model is built, then the analytic hierarchy process is used to determine the semantic order of English machine translation, and the corresponding fault-tolerant operation is carried out to the error-prone errors, weight the semantics, and introduce the fuzzy theory to arrange the English semantics of English machine translation. Finally, the performance of the model is analyzed through specific application experiments. The results show that the accuracy of the machine translation selection permutation model is improved by nearly 4.5% and can reach more than 90% compared with other models, and the timeliness is better than other models, which is improved by nearly 15%, which has obvious advantages.

The village is the lowest regional unit in the state administrative apparatus in Indonesia Indonesia, where the village is currently entering a new era after the birth of the Village Law. Village are expected to become socially, culturally, economically, and politically independent. Village Owned Enterprises (BUMDes) as business and economic institutions is expected to welcome the village community to be more independent, especially in economy. Currently BMUG Pulo Makmue is still facing various obstacles in carrying out its operations, especially in determining business strategies to increase business scale based on priority scales. This study aims to determine the policy priorities that can be taken as a business strategy to increase the Business Scale of BMUG Ulee Makmue. With the increase in business scale, BMUG Pulo Makmue will become an independent and advanced BMUG so that it can meet the expectations of the people of Ulee Pulo Village in terms of improving their welfare. The research was conducted by conducting surveys and collecting data directly in the field while still applying the Covid 19 process. The research method used was the Analytical Hierarchy Process (AHP) analysis to determine the potential for developing study BUMDes in Ulee Pulo Village. The expected result in this study is the potential of Gampong that can be developed by considering the available resources based on a priority scale.

Multiple studies have been conducted on critical success factors (CSFs) in the construction industry in developed markets but only a few studies have focused on CSFs in emerging markets. The purpos...

To cultivate high-quality talents, it is important to develop a set of scientific and complete evaluation criteria for comprehensive quality. The effective evaluation could promote and guide teaching and learning, and improve the overall quality of students. Considering the features of PE lessons, this paper resorts to multiple methods, e.g., questionnaire survey, Delphi’s method, mathematical statistics, and logical analysis, to establish a system of evaluation criteria for the quality education of PE lessons, the proposed system includes 4 primary indices, 10 secondary indices, and 24 tertiary indices. The weight of each index was determined through analytic hierarchy process (AHP), making the criteria more scientific. Taking the PE major of a college for example, the proposed criteria were investigated empirically. The results show that experts, teachers, and students made consistent evaluations. Thus, the proposed system and evaluation criteria are feasible, and capable of evaluating the overall quality of students objectively and fairly. The research results provide a tool and idea for improving the quality education of PE lessons in China, and promoting the evaluation of students’ overall quality.

In the urban complex system, historic buildings can no longer focus on the original use, proposing a new reuse approach is inevitable to adapt the needs of urban development, which involves the tangible and intangible factors like spatial environment, economic policy and numerous interest groups. The paper aims to establish an evaluation method and propose the adaptive reuse strategies for historic buildings based on complex adaptive system (CAS) theory. Firstly, a CAS framework of historic buildings is constructed based on the analysis based on CAS theory, which guided the evaluation factor selection by using the literature review and mutli-agent discussion. Analytic hierarchy process (AHP) is used to construct the adaptability evaluation index, and evaluation rules are determined using comprehensive evaluation method. Then, the structural equation model (SEM) is used to reveal the adaptability mechanism, thus proposing the suitable reuse strategies by adaptability category classification. Finally, 32 historic buildings are taking as evaluation samples to calculate the adaptability evaluation results. The results obtain revealed that 62.5% of the historic buildings have moderate or poor adaptability, which are mainly affected by the impacts of consciousness and the activities of multiple agents. The 32 historic buildings are divided into three categories at a proportion of 9:11:12 to propose adaptive reuse strategies. The establishment of the adaptability evaluation system can find out the main problems of historic building reuse, and provide a scientific decision-making basis for multiple agents to improve the adaptability of historic buildings in a complex urban context.

PurposeThis paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.Design/methodology/approachAn integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.FindingsThe results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).Research limitations/implicationsDuring this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.Originality/valueThe paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.

The main aim of this research is to implement an application of the management models; micro, small, and medium-sized enterprises based on economic potential. The research applies a qualitative descriptive approach and the Analytic Hierarchy Process (AHP). This research has taken place at Bone Bolango Regency, Sulawesi, Indonesia. The result of the study shows that variable human resources and production operation are effective other three variables’ marketing, financial management, and institution are shows not that effective yet through the management model. This research finding shows that these fish farming enterprises have several challenges but through ability mind set increasing networking (AMIN) strategy, which is an effort in increasing the capacity and the ability of the businessmen in managing the productions, operational, administration management, financial and digital modernizations, and marketing network that will factually implicate in increasing the Micro, Small, and Medium-Sized Enterprises’ performance.

KUD Tunas Muda is one of the cooperatives active in using information technology to serve the needs of its members, especially related to oil palm activities. However, not all palm oil activities have been carried out through digitization. This paper aims to provide an overview of the readiness of the KUD located in Riau Province in digitizing smallholder oil palm plantations, which include activities in preparing inputs, cultivation, marketing, and receiving payments. This study also aims to analyze strategic priorities that cooperatives can carry out in digitizing smallholder palm oil. This study uses two methods in its analysis, namely descriptive analysis, and analytical hierarchy process. Based on the study, cooperative management is quite prominent in initiating and building digital systems in services for their members. This is because the KUD already has experience in digitalization, although the function is still limited. According to the analysis, the prioritized strategy is to increase the understanding of oil palm farmers, especially among members, in using digital technology and information to support the digitalization of oil palm plantations. Keywords: analytical hierarchy process, cultivation, information technology, KUD Tunas Muda, smallholder plantation

The water quality of the Shaying River Basin and even the entire Huai River Basin has been widely concerned. Based on the water quality data acquired in flood and non-flood seasons from 2012 to 2016, the Shaying River Basin was selected as the research object. First, the principal component analysis method was used to identify the main pollution indices. Then, grey relational analysis combined with an analytic hierarchy process and entropy weight method was used to evaluate the water quality of the upper, middle, and lower reaches of the Shaying River Basin, while the single factor evaluation method was used for comparative analysis. Finally, the driving forces of water quality were analyzed and discussed from natural and human aspects. The results show that the main pollutants in the Shaying River Basin are total nitrogen, total phosphorus, and ammonium nitrogen. While the basin is seriously polluted by nitrogen and phosphorus, the spatial and temporal distribution of the pollution varies, although the overall trend toward improving water quality conditions is significant. The midstream region had the poorest water quality, which fluctuated between Classes III and V. The downstream region had generally good water quality, which could be ranked as Class III most of the time. And the upstream region had the best water quality with well-developed ecological conditions; all the water samples were ranked as Class I or II. The water quality improves significantly during the flood season when compared with that in the non-flood season. Seasonal climate variation, non-point source pollution emissions, the release of water from sluices and dams, and water resource management activities are the main reasons for the variations in water quality across the Shaying River Basin.

This study aimed to identify and prioritize competencies needed by the national tax collector. This study was conducted in two regional offices of the Directorate General of Taxes that consists of sixteen tax offices. Fourteen former national tax collector’s top performers from the 2017 to 2020 periods participated as the expert panel in two online Delphi surveys on different rating scales (five-point and nine-point) to clarify the list of competencies identified by the researcher from literature reviews and documentation studies. The Delphi panel reached a consensus for sixteen competencies in both surveys representing three categories: managerial, technical, and sociocultural competencies. The Analytic Hierarchy Process (AHP) was used to analyze the priority of competencies. Forty-six respondents, which consists of the National Tax Collector and the Head of the Audit, Appraisal, and Tax Collector Section, were participated in the AHP survey. The result shows that technical competency was the top priority among the category of competencies followed by sociocultural and managerial competencies. Based on the overall scores, the competencies' priority rankings from the top to the lowest, respectively, are sociocultural adaptation, soft collection, adhesive and unifying the nation, hard collection, tax knowledge, identification and profiling of tax bearer, integrity, compliance risk management, ICT literacy, communication, result orientation, decision-making, teamwork, public service, managing change, and developing self and others. Keywords: Competency, Delphi, Analytic Hierarchy Process, Tax Collector.

Promotion or promotion is a transfer that increases the authority and responsibility of employees to higher positions within the organization so that the obligations, both status and income are greater. Almost all employees want to get a promotion. This research discusses finding the best solution to help take the decision to increase employee positions at PT. Prudential uses the Analitycal Hierarchy Process method to help determine the preferred priorities of various alternatives. This method was chosen because it is able to select the best candidates from a number of existing employees to occupy available positions based on predetermined criteria. Research is conducted by looking for weight values for each attribute, such as examples are aspects of intellectual capacity, aspects of work attitudes, and behavioral aspects, then carried out a perankingan process that will determine the optimal alternative, namely the promotion of employee positions. As a result of the application of the AHP method in this study, the value of the determination of the promotion of employee promotion 0 - 6 was declared unfit to be promoted and if the value is greater than 6, then the employee is declared worthy to be promoted to his position.

PurposeInvestigation of housing adaptability is related to understanding factors that influence project transformation. Factors may be associated with the design and project stage as also alternative uses to existing buildings. To structure methodology for criteria analysis of adaptability, the research aims to verify the importance level of factors related to adaptability and flexibility context in architecture.Design/methodology/approachEmploying a multicriteria analysis and a diagnosis performed with architecture professionals, criteria importance identified in a bibliographic survey is contacted.FindingsWith harmonious results, key elements highlighted in the diagnosis are discussed. Adaptability and flexibility are mainly related to balance in the design of spaces and their connections, so the user can have control administrating the organization of their habitat.Originality/valueAs a complex subject, involving legal, social and cultural issues, the multicriteria method supports the scientific analysis of data. The results can be used in a practical case study as assessment of housing adaptability and flexibility, as a useful tool to decision support in architectural project.

The management and control of waste electrical and electronic equipment have been among the most critical challenges in recent decades. However, the existing electrical and electronic equipment consumption patterns lead to negative consequences for the environment and social and economic aspects. On the other hand, social media has demonstrated itself as an important data source to extract large amounts of information from consumers’ opinions. Therefore, an integrated approach of quantitative and qualitative methods (based on Twitter data and analysis of the literature followed by the Delphi method and the Analytic Hierarchy Process is adopted to analyze consumers’ participation in electronic waste recycling schemes, from the standpoint of sustainable development, in developed and developing countries. Considering the three pillars of “sustainable development”, the findings reveal that in developing countries, the “economic” pillar is of the highest, and the “environmental” aspect is of the least importance, and the “social” is somewhere in between. However, in developed countries, due to higher welfare, the priorities of the dimensions above are different wherein the “environmental” and the “social” pillars are of the higher importance, and the “economic” comes last. Therefore, governments and high-level policy-makers could apply the research findings to develop long-term strategies.

The evaluation of physical education (PE) teaching plays an important role in improving the teaching quality and students’ physical fitness. Taking five colleges in a Chinese province for example, this paper surveys the status quo of college PE teaching evaluation, and reveals several problems with the evaluation: the evaluation index system (EIS) is incomplete, and the subjects are not diverse. Based on the survey results and previous findings, questionnaire survey, the Delphi method, analytic hierarchy process (AHP), logic analysis, and mathematical statistics were combined to construct an EIS for college PE teaching evaluation, determine the weights of indices on each level, design a standard scale, and develop the evaluation framework and flow. The research results promote the development of college PE teaching, and provide a reference for reforming the teaching evaluation of other disciplines.

PurposeThe purpose of this paper is to explore employment perception of students as a relevant indicator of higher education quality, using blended multi-criteria decision-making methods.Design/methodology/approachThe differential impact of these variables was analyzed in this paper taking a sample of 641 students and six higher education lecturers identified as experts on young vocational careers. The traditional study of student behavior and perceptions of employability does not incorporate the uncertainty associated with multi-criteria decision processes and is therefore less adapted to the human reasoning process. This research applies traditional techniques together with fuzzy techniques capable of managing more effectively the uncertainty associated with student actions and behaviors.FindingsThis research shows that it is important to consider previous work experience, academic achievement and soft skills developed during education experiences. In this way, this research shows the lecturers how to adapt their pedagogical practices according to students' perceptions of employability and assess their students' perceptions of employability. In addition, lecturers will be able to incorporate the uncertainty associated with decision-making processes to optimize employability perception.Originality/valueHigher education-related research on uncertainty environments as multi-criteria decision problems is still in early stages. The incorporation of the uncertainty associated with decision-making processes to this field allows to optimize employability perception thanks to its adaptation to real human behavior in the adoption of decisions.

The COVID-19 epidemic forced most employers to transfer employees to a remote format, and after the restrictions were lifted, many companies retained this regime. Therefore, an urgent topic today is the discussion of the question of whether the hybrid or online format will remain as established forms of interaction between people. The purpose of the study is to identify the main problems in corporate governance that arose during the forced transfer of some of the personnel to a remote work format and to show the possibilities of their solution based on digital tools. Coordination of work in a team affects not so much the productivity of each employee as the formation of a general vision of the situation, the quality of setting and solving problems, the presence of informal communications and the stability of horizontal ties, and the support and adaptation of new team members. To substantiate the choice of a hybrid office, expert assessments and the method of analysing hierarchies have been applied. The article provides a list of tools that ensure the operation of a hybrid office, formulates their advantages and development prospects. The possibility of assessing the effectiveness of such decisions using the total cost of ownership methodology on the example of introducing a biometrics system in a bank has been shown.

With the continuous development of school teaching quality, the measurement of the current teaching ability level has become a concern of people. This research mainly discusses the comprehensive evaluation of the teaching ability level based on the network communication environment. This study uses fuzzy comprehensive evaluation method to comprehensively evaluate the system. First, obtain the representative evaluation standards of education informatization and a series of indicators related to informatization teaching at home and abroad; secondly, conduct a comprehensive analysis of the various evaluation standards and related indicators of informatization teaching that have been obtained; finally, the process in each indicator is discussed and revised by experts and relevant information technology teachers, and a number of schools are selected to conduct small-scale experimental evaluation experiments to form information-based teaching evaluation indicators. In this study, the proportion method is used to calculate the membership degree of each observation index based on the recovered data and establish the fuzzy relationship matrix of each evaluation factor. Paying attention to the level of index weights can guide the development direction of informatization teaching and promote the healthy development of informatization teaching. Therefore, this article uses the expert scoring method combined with the analytic hierarchy process to determine the weights in the evaluation index system. There is a significant difference between teachers in urban areas and teachers in rural areas ( p < 0.05 ). The ratio of each grade of the teacher’s informatization teaching ability comment collection is “bad 0.5%,” “relatively poor 5.7%,” “normal 35.3%,” “good 53.1%,” and “excellent 5.3%.” This research will help promote the improvement of school teaching quality.

In a cloud computing environment, there are many providers offering various services of different quality attributes. Selecting a cloud service that meets user requirements from such a large number of cloud services is a complex and time-consuming process. At the same time, user requirements are sometimes described as uncertain (sets or intervals), something which should be taken into account while selecting cloud services. This paper proposes an efficient method for ranking cloud services while accounting for uncertain user requirements. For this purpose, a requirement interval is defined to fulfill uncertain user requirements. Since there are a large number of cloud services, the services falling outside the requirement interval are filtered out. Finally, the analytic hierarchy process is employed for ranking. The results evaluate the proposed method in terms of optimality of ranking, scalability, and sensitivity analyses. According to the test results, the proposed method outperforms the previous methods.

Vocational High School is a formal education unit that organizes vocational education that prepares students, especially to work in certain fields. In determining students who excel in certain fields, it is necessary to have a decision support system to improve the quality of decisions in determining students who excel from the highest average score. However, using the highest average score does not get optimal results because it is not adjusted to the existing needs in determining outstanding students. In this study, it can be used as a reference in making decisions for outstanding students by applying the Analytical Hierarchy Process and Simple Additive Weighting methods. The steps taken are: Data collection, Data Preprocessing, Ranking and Comparison of Results between Analytical Hierarchy Process, Simple Additive Weighting with manual weighting results. The results of the ranking comparison show that there are 6 students with the top ranking who are recommended to be outstanding students in the linguistic group.

Purpose – This paper aims to identify and classify the main barriers for adopting circular economy practices using the Analytic Hierarchy Process (AHP) method for prioritization. The proposed methodology evaluates the importance of different classes of barriers for adopting circular economy practices in a food company and metalworking company. Theoretical framework – This study was based on the current theory of barriers to adopt circular economy practices and multicriteria decision-making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used to assess and prioritize barriers for circular economy practices. Stability was ranked using a sensitivity analysis. Findings – The results indicate significant differences in the classification of barriers. While the food manufacturing company indicate that the main barriers are related to technical information, the metalworking company considered that barriers relating to financial and economic issues have more of an impact. Originality/value – The study contributes to providing insights so that managers have a greater perception of the main difficulties in adopting circular economy practices, in addition, the study also contributes to extending the application of multicriteria decision making methodologies to the circular economy and evaluating the relative importance of the barriers. Keywords - Circular Economy; Analytic Hierarchy Process; multicriteria analysis; barriers; sustainable development.

Purpose – This article aims to propose criteria for the selection of green suppliers in the foundry sector and select the best suppliers for the organization where researched, by applying the AHP method. Design/methodology/approach – An applied survey was carried out where specialists from the foundry sector were consulted and after the survey had been completed, criteria were defined to select green suppliers. Findings – Adopting the defined criteria and applying the Analytical Hierarchy Process (AHP) decision-making method, five suppliers were classified, with Environment, Health and Safety criteria being considered the most important according to the opinion of the experts consulted in this survey. Originality/Value – The study allows organizations to see the importance of the supplier selection process in the foundry sector, where worldwide concerns for the environment are increasingly present and environmental standards and regulations are strict. Keywords – Green supply chain. Supplier selection. AHP method.

In today's world, the fast-food restaurant has become a popular sort of eatery. The fast-food industry's expansion is always changing in response to customer requests in order to meet their needs. As a result, clients have a wide range of fast-food restaurants to choose from in order to satiate their hunger. Clients' contentment with restaurants will influence not just the image of the establishments, but also the services offered by their employees as they strive to entertain and deliver the best possible service to their paying customers. However, the competition between the restaurants have caused certain restaurants to gain lower profits as the customers’ satisfaction is not fulfilled for certain factors. Price, food quality, service quality, restaurant atmosphere, promotion, customer expectations, and brand are all elements to consider. This study was conducted to analyse the importance of factors in customer satisfaction in a fast-food restaurant in Perlis. In this study, the method applied is the Fuzzy Analytical Hierarchy Process (AHP) to rank the factors that have a high impact on customer satisfaction. The selected fast-food restaurants were McDonald (McD), Kentucky Fried Chicken (KFC), Pizza Hut, Domino’s Pizza, Marrybrown, and Subway. The primary data collected through the questionnaire were analysed by experts, the manager of the fast-food restaurant selected. The findings show that in a fast-food restaurant, the quality of service with 0.2188 of normalized weight is the most important factor in customer satisfaction, and the price with 0.0436 of normalized weight is the least significant. The role of the manager and the staffs were thus evidently more important in customer satisfaction than the price offered.

Land degradation and desertification have recently become a critical problem in Ethiopia. Accordingly, identification of land degradation vulnerable zonation and mapping was conducted in Wabe Shebe...

Education evaluation promotes the scientific management of physical education (PE), and facilitates the realization of teaching goals of PE lessons. Through fuzzy comprehensive evaluation (FCE), this paper explores the influencing factors of teaching evaluation system for PE. A new evaluation index system (EIS) of PE was constructed through expert evaluation, the weight values of each index were determined through analytic hierarchy process (AHP), and an FCE model was established for PE. Taking a college PE teacher as the research object, the application effect of the proposed FCE model was empirically investigated. The results demonstrate the practicality and feasibility of the proposed model. The FCE model can qualify PE evaluation results comprehensively, and support the overall evaluation of a single factor. The modeling results reflect the actual teaching effect from multiple layers, and help to rationalize PE in the light of specific factors. The research provides important theoretical and realistic evidence to the promotion of PE evaluation.

The work aimed at proposing a decision support interdisciplinary model for the assessment of the quality of public transport based on the multi-criteria approach. A case study was carried out in a medium-sized Brazilian municipality, considering the importance of indicators and the level of users' satisfaction. The methodology relied on the disaggregated and aggregated analysis of the indicators with Analytic Hierarchy Process (AHP), generating a quality index for the municipality under study and sensitivity analysis. The results show the relevance of the proposed model, highlighting the main indicators and the final index for the case studied. The operational group was considered a priority for the municipality, with the lowest Public Transport Quality Index (PTQI) per group. The results emphasized the low quality of the service in the municipality, which presented a PTQI of 0.472. The work contributes to the state of the art by proposing a model to assess the quality of the PT (Public Transport), and assists public authorities and operating agents in the decision-making process with regard to the improvement of the public transport system.

The fair, objective, scientific, and comprehensive evaluation of teaching quality helps college teachers improve the quality of teaching, and enables colleges to realize their goals of talent training. Therefore, it is important to find a way to comprehensively evaluate the teaching quality of college teachers. Drawing on the theories of analytic hierarchy process (AHP), this paper sets up an evaluation index system (EIS) for teaching quality of college teachers, and determines the weight of each index. Taking the teachers of a college for example, the multi-level fuzzy comprehensive evaluation (FCE) was carried out to quantify the teaching quality of these teachers. The results show that AHP and FCE can quantify and qualify the teaching quality at the same time. The combined use of the two techniques is applicable to comprehensive evaluation of teaching quality, and the assessment of a single factor, offering a complete understanding of the teaching quality of college teachers. The research provides a scientific way to evaluate the teaching quality of college teachers, and a realistic tool to enhance the teaching quality in colleges.

The quality of the performance of the State Civil Apparatus (ASN) is a very important resource to be able to determine the capacity of the Regional Apparatus Organization (OPD). One of the efforts to improve the quality of OPD performance is the promotion of positions. Promotion of an award given for work performance and dedication of a civil servant, as well as being excited to improve work performance and loyalty. Therefore, it is necessary to determine a promotion. The weighting method in this study uses the Analytical Hirarchy Process. This study also compares this method with the Technique for Ordering Preference based on Similarities with Ideal Solutions. The resulting criteria are formal and informal. Consists of formal sub-criteria consisting of formal education, position experience, class rank, technical competence, managerial competence and socio-cultural competence. Then for the informal sub-criteria consisting of discipline, innovation, creativity, ideas for institutional functions, the ability to collaborate and work in teams, loyalty, responsibility, leadership, ability to communicate well and recommendations at the provincial and / or ministerial level. Furthermore, calculations are carried out using the AHP and TOPSIS methods for data for 2018 which means 1 position, in 2019 means 2 positions, and in 2020 means 4 positions. In one position consists of 3 ASN alternatives. After comparing the accuracy level of the AHP and TOPSIS methods with experts, the results of the AHP method are better in making recommendations for structural promotion of echelon IV ASN by producing a perfect score of 100% and a TOPSIS value of 71.4%.

This study intended to explore what the key elements of being excellent teachers are. Therefore, we engaged in two stages investigations. First, a questionnaire of analytic hierarchy process was developed via literature reviews and interviewing with eight experts, who won the award of golden medal in excellent teaching in the year of 2016. The questionnaire includes two layers. Items in the first layer are teachers’ traits, classroom climate, and external resource utilization. Items in the second comprise of passion, responsibility, cohesion, continuous learning, teaching plans, teaching skills, oral expression, classroom management, workshops, local community, virtual community, and professors’ supports. Second, we invited groups of teachers and parents to fill out the questionnaires respectively and expert choice software was adopted to enact statistics. The results of their perspectives indicated the weights of the first layer separately as follows: teachers’ traits occupy (64.0%; 41.7%), external resource utilization (20.0%; 41.6%), and classroom climate (16.0%; 16.7%). Additionally, the overall top three items in the second layer from teachers’ aspect are passion (18.8%), responsibility (18.3%), and continuous learning (15.3%). However, the overall top three in the second layer from parents’ aspect are continuous learning (13.5%), professors and college students’ participations (12.9%), and passion (12.7%).

As an important link in product development, car style evaluation could ensure the quality of car style design, making the design more efficient, laying the foundation for production planners, production managers, and investment decision-makers in automobile manufacturing. The consumer-centered evaluation should accurately reflect the psychological cognition and subjective feelings of consumers. However, the current studies have not provided a unified evaluation standard, nor fully utilized the massive data on the evaluations made by consumers. Considering in advantages of fuzzy mathematics and neural network in processing massive data on consumer evaluations, this paper designs a consumer-oriented car style evaluation system based on these two techniques. Firstly, a scientific evaluation index system was designed for consumer-oriented car style evaluation, the index scores were classified into different levels, and a judgment matrix was constructed for indices on each layer and subject to consistency check. Next, absolute weights were assigned to alternatives, and the corresponding fuzzy membership functions were determined, producing a fuzzy comprehensive evaluation (FCE) model based on analytic hierarchy process (AHP) (AHP-FCE model) for car style evaluation. Furthermore, car styles were categorized by appearance structure, and the car style samples were parametrized for evaluation. Finally, particle swarm optimization (PSO) was improved, and then combined with backpropagation neural network (BPNN) into a classification model for consumer-oriented car style evaluation. The proposed consumer-oriented car style evaluation model was proved effective and superior through experiments. The results offer a reference for the application of the model in other evaluation scenarios

In the present context, the issues of sustainable development of commercial banks are becoming particularly relevant, since they largely determine the state of the country’s economy as a whole. At the same time, commercial banks operate under the influence of various factors of the internal and external environment, digital transformation and the transition to the fourth industrial revolution, which significantly changes the conditions of their functioning. The time lag in which a credit institution can be in a relatively static, stable state is reduced. In this regard, there is a need to develop a methodology for assessing the sustainable development of commercial banks. This paper aims to develop theoretical provisions and methods for assessing the sustainable development of commercial banks using the analytic hierarchy process. As a result of the research, theoretical approaches to the disclosure of the economic content of the sustainable development of commercial banks, as well as existing A methodological approach to assessing the sustainability of the bank’s development is justified, considering five components: economic, social, environmental, institutional and technological. Within the framework of this approach, criteria for their assessment are proposed for each of the components of the sustainability of the development of commercial banks, a scale of their relative importance is constructed and vectors are determined based on expert assessments. The authors make a conclusion that it is necessary to distinguish four types of stability of the bank’s development: absolute stability, normal stability, unstable state, crisis state. This approach can be used by commercial banks when developing a strategy for the sustainable development of financial and credit organizations. Prospects for further research may be associated with the development of alternative methods for assessing the sustainable development of commercial banks.

The purpose of this study was to compare the competitive priorities of the slow and fast fashion retail operations of large retailers in an emerging economy. The study embraces the six largest Brazilian companies operating both fast and slow fashion businesses. The methodological path comprises a qualitative phase, in which four experts review the competitive priorities in fashion supply chains. Then follows a quantitative phase, in which the practitioners, supported by AHP, the analytical hierarchy process, weight the fast fashion and slow fashion supply chain priorities. Finally, the study compares the two sets of priorities by considering the uncertainty in the judgment. The most relevant priorities in slow fashion are price and quality, whereas those in fast fashion are customer relationships and flexibility. This study proposes guidelines for simultaneously managing these two strategies. In slow fashion, companies should reduce costs and improve quality by implementing online process controls. In fast fashion, companies should decrease lot sizes, increase the variety of mixes and assortments, and strengthen ties with customers. The main novelty of this study is the evidence that retailers operating fast and slow fashion must simultaneously manage two different strategies to achieve different priorities. In addition, some novel procedures are adopted to mitigate the uncertainty in the judgments.

PurposeCurrently, countries worldwide are struggling with the virus COVID-19 and the severe outbreak it brings. To better benefit from open government health data in the fight against this pandemic, this study developed a framework for assessing open government health data at the dataset level, providing a tool to evaluate current open government health data's quality and usability COVID-19.Design/methodology/approachBased on the review of the existing quality evaluation methods of open government data, the evaluation metrics and their weights were determined by 15 experts in health through the Delphi method and analytic hierarchy process. The authors tested the framework's applicability using open government health data related to COVID-19 in the US, EU and China.FindingsThe results of the test capture the quality difference of the current open government health data. At present, the open government health data in the US, EU and China lacks the necessary metadata. Besides, the number, richness of content and timeliness of open datasets need to be improved.Originality/valueUnlike the existing open government data quality measurement, this study proposes a more targeted open government data quality evaluation framework that measures open government health data quality on a range of data quality dimensions with a fine-grained measurement approach. This provides a tool for accurate assessment of public health data for correct decision-making and assessment during a pandemic.

There is currently no fair, rational, or scientific approach for evaluating college teachers’ teaching abilities. Mathematical methods are frequently used to measure the teaching capacity of college instructors in order to make it more scientific. Traditional statistical analysis evaluation models, fuzzy evaluation methods, grey decision methods, and the analytic hierarchy process (AHP) are only a few examples. Because teacher assessment is a nonlinear problem, even though the preceding methods have produced some positive results, they are vulnerable to some subjectivity. In this paper, the neural network model is incorporated into the adaptive vector and momentum of the modified BP neural network of a gradient descent method to boost the model’s convergence speed, and the model is thoroughly researched to evaluate university teaching quality, and the network structure is omitted to address the complex nonlinear problem of college and university teaching quality assessment. The model’s comprehensive evaluation of teaching activities is then bolstered by the addition of new evaluation indexes to the existing ones.

En el presente trabajo se identificaron las principales tecnologías existentes en el mundo para la cosecha de cítricos, especialmente limón Tahití (Citrus x latifolia Tanaka Ex Q. Jiménez). A partir de una búsqueda bibliográfica, se establecieron los criterios más importantes para la adaptabilidad de dichas tecnologías a los cultivos en zona de ladera en Colombia. Se revisaron diferentes bases de datos y se identificaron resultados de diversos países con una participación importante en el mercado global de cítricos. Posteriormente, se aplicó un proceso analítico de jerarquización (AHP) para determinar la tecnología más adaptable según los criterios establecidos. Los resultados mostraron como tendencia tecnológica más apropiada la aplicación de soluciones robotizadas para la cosecha de cítricos. #LimónTahití This work identifiedthe main existing technologies for citrus harvestingin the world, especially Tahiti lemon (Citrus x latifoliaTanaka Ex Q. Jimenez). Based on a literature review, the most important criteria regarding the adaptability of such technologies to crops planted in hillside terrains in Colombia were established. Different databases were reviewed and results from different countries with an important participation in the global citrus market were identified. Subsequently, an analytical hierarchy process (AHP) was applied to determine the most adaptable technology according to the established criteria. The results showed that the most appropriate technological trend was the application of robotic solutions for citrus harvesting.

The Indian food processing sector (IFPS) has a tremendous capability for growth that can improve the socio-economic conditions of the rural masses. The performance of this sector is lagging behind substantially when compared to other developing nations. This study aims to identify growth barriers at different supply chain (SC) stages in the IFPS. Delphi analysis is performed to find out the barriers in the IFPS. Eighteen growth barriers have been found through expert opinion and extensive literature review spanning across three supply chain tiers: farm level, distribution level, and the consumer level. Further, to prioritize and identify the relative importance of various barriers, the analytic hierarchy process is employed. The results show that the top growth barriers in IFPS are—the lack of standardization and quality in the processed food, rain-dependent farming, and the high cost of cold chain facilities. The novel contribution of this study lies in capturing the intricacies of growth barriers in IFPS in an integrated manner across different SC tiers. Interactions between the identified drivers are important to both practitioners and researchers in understanding and driving process, quality, and technology improvements. Finally, the results also throw light on prioritized areas of concern that can be a game-changer for policymakers in India and other developing nations.

PurposeService levels between public organizations in the United Arab Emirates (UAE) differ and fluctuate. Service levels were found to increase with the level of employee creative behavior (ECB), which is currently a focal point in organizational policies by the federal UAE government. While the literature presents an ample array of determinants of ECB, local context typically influences which determinants provide more leverage than others. Therefore, this research aims to present a customized ranking of determinants that enables managers in the UAE public sector to successfully stimulate ECB.Design/methodology/approachThrough a systematic literature review, this study identified 21 determinants at four different levels and subsequently utilized the analytic hierarchical process (AHP) to map their relative importance. Data were attained from 33 experts: managers and senior employees from different organizations.FindingsFindings indicate that, overall, the individual level is seen as the most important leverage point to stimulate ECB, followed by the team level. Comparing the determinants under each level, management support (organizational level) is perceived as the most impactful, followed by coworker support (team level), and enhancing creative self-efficacy (individual level).Originality/valueThis study compares obtained levels from other studies with new levels in building the AHP model. These insights guide managers in the UAE public sector who aim to enhance ECB, which will contribute to increased service quality. The study introduced a comprehensive ECB framework of 21 determinants. Even though many ECB studies applied in different countries and industries, but to researchers' knowledge, this is the first ECB study that applied at the UAE's public sector using the AHP model.

This study aims to determine the best type of Digital currency according to Islam. This study uses the Analytical Hierarchical Process (AHP) method by developing several alternative digital currencies and attributes (indicators). In addition, this study also uses deductive qualitative analysis. Respondents in this study amounted to 100 people with the sampling technique Area Stratified Purposive Sampling and several selected respondents were interviewed. The results show that Gold-based Digital Money is the best type of Digital currency according to Islam. The main attribute of ownership in Gold-based Digital Money is Usury abolishment capability. Other factors are Gharar Eraducation, Maysir Eraducation, Justice / Fairness Principles, Medium of exchange, Measurement of value, Store of value and Differed payment instrument. In addition, this model can accommodate 7 criteria for the role of currency in the economy.

A well-being supply chain system will affect on the sustainability of the production and consumer’s satisfaction. Consumer’s need will be fulfilled if the served quality is in the accordance with consumer’s expectations. This study aimed to identify banana supply chains, determine product quality attributes, and strategies for improving the quality of banana products. The methods used were Van der Vorst supply chain management framework, Quality Function Deployment (QFD), and Analytical Hierarchy Process (AHP). The research results exposed that banana supply chain consisted farmers, traders, industries, retailers, and consumers. The dominant quality factors on thise supply chain were the harvest planning (0.24) and harvesting technique (0.19) for fresh bananas; the frying (0.28) and the packaging (0.20) for sale banana; the frying (0.28) and the packaging (0.17) for banana chips. Meanwhile, the quality attributes for fresh bananas were fruit maturity and damage level, for sale bananas were taste and texture, and for banana chips were taste and level of cracked chips. The proposed strategies to improve product quality in the banana comodity supply chain were an increase ability or skill in the production process for each actor (0.25), using standards in the product production process (0.22), make a explicit contractual agreements between actors regarding product quality (0.21), establish a structur farmer group institutions (0.13), optimizing local wisdom (0.10) and the government’s role in assisting farmer and industrial development (0.08). Keywords: banana products,quality improvement, supply chain

Software packages that meets the requirements of an organization should be appropriately investigated and evaluated. Picking up a wrong software package may adversely influence the business process and working function of an organization. Inappropriate software selection can turn out to be costly and it is a time-consuming decision-making process. This paper aims to provide a base for selecting the open source software packages based on analytic hierarchy process and technique for order preference similarity to ideal solution methodologies. In addition, the priority weights are generated and optimized by using teaching–learning based optimization approach. A well-organized algorithmic procedure is given in detail and a numerical example is examined to illustrate the validity and practicability of our proposed methodologies.

Vojvodina Province (Northern Serbia) represents a multicultural area inhabited by around thirty nations and national or ethnic groups with their authentic tradition and culture. The gastronomy of Vojvodina has been forming as a reflection of geographic characteristics—natural conditions and social events in this area. The life numerous nations share on this fertile soil of Vojvodina has initiated mutual impact of various customs, which contributed to the creation of a unique and specific Vojvodina cuisine. In this paper, mixed-method research approach was applied. The application of the analytic hierarchy process (AHP) method was preceded by a survey research on the sample of 289 guests in the restaurants on the territory of Vojvodina. The aim of the research was to define the key motives when choosing a traditional Vojvodina dish. In the second stage, AHP model was used for ranking factors significant for choosing traditional food by 29 experts in the field of hospitality and gastronomy. The result shows that Sensory appeal is the most important criterion for choosing traditional food in restaurants by the experts, followed by Health concern, and Familiarity.

The complex problems that existed during the Field Implementation in the SMP Negeri 1 Surabaya project at that time caused some work that was not as planned both in terms of time, quality and cost which resulted in overbudget and overtime. When experiencing overbudget and overtime, it is necessary to have good cost, quality and time management. Good management should not only be owned by the project owner. The length of time to complete the project has a big effect on the increase in the overall project cost. Therefore, daily, weekly and monthly progress reports are needed to report work results and completion times for each project work item. Furthermore, this work is compared with the completion time of the plan so that the completion time can be controlled for each period. This is because the construction of the building has a delay in time so that it can cause disruption in some field operations. The analysis that I have done is viewed from all of them (owner and contractor). This study uses the AHP (Analytical Hierarchy Process) research method because AHP is used to derive the ratio scale of several paired comparisons that are discrete or continuous. Other problems such as inconsistencies in planners, supervisors, executors, and other authorities in the field, namely lack of communication and late making decisions such as changes in design and changes in calculations that are in implementation and planning so that the project results in time and cost delays, and other problems. such as material calculations and others, there are also delays caused by delays in making decisions in implementation. Because of that, the project for the Public Junior High School 1 in Surabaya experienced delays in several jobs, namely the foundation, column, ladder, and beam work, which should have been done in 1-2 months to 3-4 months. In terms of implementation, such as lack of communication between planners, supervisors and implementers as well as other authorized officials, a good communication is needed. So that it does not cause so many problems and can reduce delays in terms of implementation in the field.