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Chinese independent clothing designer brands are clothing brands founded and operated by local Chinese designers. In recent years, China's independent fashion designer brands have been in a state of continuous growth. Such types of brand are good at promoting and selling through the e-commerce model of brand integrated stores, buyer stores, fashion weeks, showrooms and online small batch pre-sales. They have formed an emerging brand force in China, being mainly small and medium-sized startups. However, the competitiveness of Chinese independent fashion designer brands is still in the market exploration stage, and the development of its evaluation system research and cultivation strategies is slow. As market competition intensifies, it has become increasingly important to discover and tap a brand's core competitiveness to obtain excess profits. In order to facilitate the strategic decision making of enterprises and ensure that the core capabilities of brands or designers match market opportunities, it is necessary for us to summarize the factors affecting brand competitiveness and explore the core influencing factors and mechanisms. To enhance the core competitiveness of China's independent fashion designer brands, the key indicators for the development of China's independent fashion designer brands competitiveness are identified. This study systematically identifies relevant indicators based on the understanding of the brand ecology and the review of previous research results. The brand competitiveness of Chinese independent fashion designers is investigated from the two dimensions of internal force and external force, and the internal force is divided into brand innovation power, brand resource financing and supply power, brand marketing power and brand quality support power. The external forces are divided into seven categories, including brand financial strength, brand market strength, and brand image strength, which are considered as first-level evaluation indicators. Sixteen second-level indicators and 33 third-level indicators are selected to construct an evaluation index system for the brand competitiveness of Chinese independent fashion designers. The ANP method is used to analyze the correlation between indicators to form an evaluation model and determine the weight and priority of each indicator. Compared with other evaluation index systems, the evaluation system of the brand competitiveness of independent fashion designers in China can focus on the development characteristics and operating rules of the market. It can help many small and micro independent fashion designer brand companies to clarify their own strategic flaws and scientifically and objectively identify important factors affecting the future development of the brand. The research results show that the newly constructed evaluation model can guide the development strategy of the core competitiveness of Chinese independent fashion. designers brands, and can accurately reflect the important factors that affect the brand competitiveness of Chinese independent fashion designers. The results show that the primary task to improve its brand competitiveness is to enhance brand resource financing, brand image, and brand innovation. Among them, the factors that have a great impact on the brand competitiveness of independent fashion designers in China include policy support, brand cluster incentive index, sales growth rate, designers professional quality index, and market share. For decision makers of new brands and small and medium-sized enterprises, a complete and scientific evaluation system can quantify the brands operating status and is a beneficial tool for brand management. The construction of the evaluation system can promote the continuous updating and iteration of the brand, and has positive guiding significance for the maintenance of industry in order and long-term high-quality development of competitiveness in China's independent fashion designer brand market. The research on the evaluation system relies on the market environment. Therefore, as China's independent fashion designer brand market matures, phased repair and update of the shortcomings of the evaluation. system are the direction of future research. Faced with the current imperfect and unsound market mechanism, the intellectual property rights, talent and supply chain issues of China's independent fashion designer brands are also the focus of attention. [ABSTRACT FROM AUTHOR]

To address the existing issues in the development of the textile intangible cultural heritage industry and leverage its competitive advantages, an evaluation system for the competitiveness of the textile intangible cultural heritage industry is established by analyzing the operation process of the industry and using Porter's Diamond model. A correlation structure model of the evaluation indicators was further constructed using Analytic Hierarchy Process (ANP), and the weights of each indicator were determined by combining the Delphi method and expert scoring method. To verify the effectiveness of the model, three provinces, Zhejiang, Hunan, and Guizhou, were selected for empirical analysis. The evaluation model obtained in this study provides an important theoretical basis and practical guidance for local governments to formulate strategic policies to promote the development of the textile intangible cultural heritage industry. [ABSTRACT FROM AUTHOR]

In order to scientifically evaluate the command capability of a joint combat command organization, the paper establishes a command capability indicator system for the joint combat command organization, analyzes the interrelationships between indicators at various levels and the interrelationships between elements within the indicator group, and uses Super Decisions software to establish a relationship diagram of command capability evaluation indicators for the joint combat command organization, obtaining the weight of the final indicator system, collects two groups of command organization exercise evaluation data and calculates the evaluation results of capability. By analyzing the weight of indicators, it is pointed out that to improve the command capability of joint operations organizations, it is particularly important to focus on three key points: planning and decision-making capabilities, intelligence reconnaissance capabilities, and operational control capabilities.

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Command Control & Simulation / Zhihui Kongzhi yu Fangzhen is the property of Command Control & Simulation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To prevent miners’ unsafe behavior, analytic network process was used to construct the indicator system of influence factors and the indicator weights were calculated. Based on the indicator system, intervention strategies for miners’ unsafe behavior were designed. The system dynamics model of miners’ unsafe behavior was established based on individual, environment, group and management and simulated by Vensim software, then the effects of different intervention strategies on the level of unsafe behavior were discussed. The results show that the primary indicators in order of weight are safety management, personal factors, leadership climate, group climate, work environment, nature of work; secondary indicators with greater weight are safety regulation, safety education and training, safety culture; the reduction of level in miners’ unsafe behavior is accelerated by the intervention strategies, and there is optimal intervention strategy in each intervention aspect; the optimal intervention strategy provides new ideas for strengthening safety management and reducing accidents in coal mines.

Copyright of Journal of National University of Defense Technology / Guofang Keji Daxue Xuebao is the property of NUDT Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Agriculturae Zhejiangensis is the property of Acta Agriculturae Zhejiangensis Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Educational Policy Forum is the property of National Chi Nan University, Department of Education Policy & Administration and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to quickly select the low carbon and environment friendly green cutting process, a digital twin data driven decision- making method for green process was proposed. Firstly, digital twin data driven decision-making process for green cutting process was determined. Secondly, the evaluation index system of green cutting process optimization was established, including quality, time, cost, resource consumption and environmental impact as the evaluation indexes. Thirdly, the network analytic hierarchy was used to calculate the weight of the evaluation attributes. The probabilistic hesitant fuzzy reference ideal method and digital twin data was used to select the alternative green cutting process. Finally, the evaluation model was applied to the blade processing optimization of an aviation enterprise. The results show that the proposed method can make full use of the functions of digital twin workshop including simulation prediction, historical data mining and real-time acquisition, which provide a comprehensive data source for process evaluation. At the same time, the proposed evaluation model is practical, robust and suitable for the green cutting process evaluation. [ABSTRACT FROM AUTHOR]

In the consumer society the use value of commodities is gradually weakened and the symbolic value becomes increasingly prominent. In the process of consumption consumers consider not only the value of use and the actual function of the goods but also the intrinsic meaning of the brand. In order to meet consumers' pursuit of symbolic meaning of goods fashion brands continue to strengthen the symbolic meaning of their brands and construct brand symbols through long-term communication and interaction in order to gain a foothold in the fierce market competition. Due to the lack of an in-depth understanding of brand symbols fashion companies have invested a lot of energy in the construction of fashion brand symbols but with little success. Therefore through reviewing semiotics and brand symbols related research the research defines the connotation of fashion brand symbols constructs a fashion brand symbol evaluation system and further expands the research scope of brand symbols. The results of the study can provide theoretical reference for the brand symbol research in the field of fashion and also provide reference suggestions for fashion companies to construct brand symbols. Based on the theoretical analysis on semiotics and reviewing on brand symbols related literature this research defines fashion brand symbols as the carriers constructed by fashion brands around their own image and cultural connotation to spread brand differentiation information and specific meanings which contain both explicit elements such as brand logos products and packaging and implicit elements such as emotions experiences and symbolic meanings. In order to help fashion companies better understand the connotation of fashion brand symbols correctly understand and evaluate their own practical activities on fashion brand symbols and timely adjust their brand symbol construction strategies this research uses case studies to analyze the actual cases of fashion brand symbols from 23 fashion brands explores forms of symbolic representation for fashion brands and constructs a fashion brand symbol evaluation system by combining literature research method. The fashion brand symbol evaluation system consists of four primary indicators and 18 secondary indicators. The primary indicators are identification symbols knowledge information symbols experience symbols and symbolic symbols. Identification symbols are visual symbols that differentiate and point to the brand design activities knowledge information symbols are symbols that convey brand-related information and enhance consumers􀆶 understanding of the brand or product experience symbols are subjective feelings formed after consumers interact or emotionally communicate with the brand symbolic symbols point to the deep cultural connotation of the brand and are symbols that forcefully give meaning to the brand. To further determine the weights and ranking of each evaluation indicator in the overall fashion brand symbol evaluation system this research combines the Delphi method and analytic network process to conduct a quantitative study. The results show that the primary indicators in order of importance are symbolic symbols identification symbols experience symbols and knowledge information symbols and the top five secondary indicators in that order are brand personality symbols style identification symbols emotional experience symbols image positioning symbols and value concept symbols. Therefore when constructing fashion brand symbols fashion companies should first pay attention to symbolic symbols. Brands can integrate and strengthen brand symbolism in design and marketing focusing on the formation of brand personality brand image and value concepts in recognition symbols fashion brands can strengthen brand style recognition through the continuity between the overall style of clothing in experience symbols brands can use various marketing activities to enhance the emotional value of the brand and improve the emotional connection with consumers. In the future we can verify the fashion brand symbol evaluation system proposed in this research from the perspective of consumers and deepen the theoretical research of fashion brand symbols. At the same time the research conclusions can be further combined with the practical activities of fashion brands to make the research results have more practical significance. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In view of the problems of the coexistence of multi-source information, incomplete information, and non-independent evaluation questions of evaluation information, an integrated framework for multi-relational blended information and an information aggregation method are proposed. Firstly, the blended uncertain information is classified and integrated, the correlations are explored among information（sub）streams, and the integrated framework for multi-relational blended uncertain information is constructed. Secondly, the blended uncertain information is transformed into random numbers by simulation iterations to fully tap the value of information. Then, through the relationship graph of information（sub）flows, the information weight of information（sub）flows is solved by using the analytic network process（ANP）. Finally, by comparing the results of each simulation iteration of the evaluated object, the pairwise priority matrix is obtained, and the probability ranking reflecting the probability characteristics is obtained by the regression tree method. The fusion of blended incomplete information and multi-relational information are explored by constructing the integrated framework for multi-relational blended uncertain information. The requirements for data integrity in the evaluation process are reduced, and information overlapping and information redundancy are considered. The relative conclusion is more explanatory for the practical problems. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The benefit evaluation for lean construction implementation in construction enterprises is one of the important measures to realize the rapid development of construction enterprises, which provides theoretical basis for the managers of construction enterprises to accurately formulate enterprise development strategies. This paper constructs an index system for evaluating the performance of lean construction implementation in construction enterprises from four dimensions, including goal achievement, lean tools and techniques, waste control, and lean atmosphere. The weight of each indicator is determined by combining analytic network process (ANP) and the entropy weight method (EWM), with consideration given to the correlation among indicators. Combined with the fuzzy comprehensive evaluation method (FCE), the evaluation model of lean construction performance for construction enterprises is established. Finally, the comprehensive evaluation model is verified by taking a company of China Construction Corporation as an example to provide a reference for evaluating the implementation performance of lean construction in construction enterprises. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to deeply understand each dimension index and its connotation of clothing green information, clothing green information presentation strategies were explored and put forward in this paper. The green information display for clothing market is too general to meet the cognitive needs of consumers. Based on the grounded theory and network analytic network process, the green information of clothing was analyzed and systematically studied, the indicator system of green information of clothing was constructed and a quantitative analysis of the indicator system was made. The results show that the index system of clothing green information includes 6 dimensions and 21 indicators, and the importance to clothing green information of each dimension from strong to weak is as follows; green production information, green entity information, green service information, green service information, green brand information, green communication information. FinHy, feasible suggestions and references for clothing enterprises was provided to formulate green information strategies. [ABSTRACT FROM AUTHOR]

To improve the level of safety integration supervision in county mining areas, and to solve the problem of weak macro-control ability of regional-level coal mine safety at the national regulatory level, using field surveys and expert consultation methods, based on the six levels of “human-environment-coal mine-information-supervision-rescue”, we established a county mining area safety risk evaluation index system, established a evaluation model of coal mines in a region based on ANP and probabilistic neural network, and conducted an empirical study. Research results show that the index system constructed is reasonable and effective and the evaluation model has higher accuracy, it can provide more accurate early warning evaluation of county mining area safety.

Runway incursions have become an important factor that threaten the safe operation of aviation. Based on the thoughts of system engineering, main factors causing runway incursion incidents and their associated relationships are analyzed and a runway incursion risk assessment index system is established from three aspects of airports, air traffic control, and airlines; The traditional analytic network process is improved by triangular fuzzy numbers, and a research model for runway incursion risk assessment is established based on this; Through the analysis of examples, the main factors affecting the runway incursion risk are obtained. The results show that the method is feasible and effective, which can reflect the relationship between risk factors and reduce the influence of subjective judgment on the index weight, and help develop effective measures to prevent runway incursions. The workload of controller, lost situation awareness and deviation operation/negligence of pilot are main risk factors during the production of runway incursion.

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to promote the coordinated development of the Beijing-Tianjin-Hebei textile and apparel industry, the evaluation of the Beijing-Tianjin-Hebei textile and apparel industry's sustainability was focused on in this study. Based on the connotation and characteristics of sustainable industrial development, the development status of the Beijing-Tianjin-Hebei textile and apparel industry was analyzed. Based on the previous research results, the Beijing-Tianjin-Hebei textile and apparel industry sustainable development capability evaluation indicators and system have been established, including 37 indicators in three dimensions: industrial development foundation, industrial coordination ability and industrial sustainability support. Based on the results of expert interviews and meeting discussions, Analytic Network Process was used to construct the correlation and evaluation model between indicators. The results show that the important factors that affect the sustainable development of the Beijing-Tianjin-Hebei textile and apparel industry are industrial comprehensive organizational capabilities, scientific and technological support, industrial-ecological coordination and industrial economic foundation, respectively, indicating that promoting industrial economic development, strengthening the application of science and technology, coordinating industry and ecology and improving industry's comprehensive capabilities are the primary tasks that the Beijing-Tianjin-Hebei textile and apparel industry needs to solve in the future. [ABSTRACT FROM AUTHOR]

To solve the uncertain information and the multi-source decision-making problems of maintenance level, one rough group decision-making approach is proposed with uncertain information for weapons' health management. Firstly, the group decision-making information system is defined to describe the multi-source problem, and the inconsistent-information group decision-making information system is used to describe inconsistent information. Then, based on the rough decision-making method for incomplete information and the group decision-making method for inconsistent information, one rough group decision-making approach is designed for uncertain information. At last, the designed approach is used for the maintenance level of some-type radar. And the cases verifies the validity of the rough group decision-making approach on uncertain information, which can increase the accuracy of the decision remarkably. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To improve the efficiency of clothing enterprises production, an evaluation index system influencing efficiency of clothing line operation was constructed from the three main factors, which was personnel, processes and equipment factors. The analytic hierarchy process was used for matrix analysis, the relative weights of different indexes were drawn, effect of various factors on the clothing line efficiency was evaluated and the application was verified by the orthogonal test. The results showed that in the garment assembly line, the influence of personnel factor on production efficiency was the most significant, the equipment factor was the least, and the process factor was medium. Among the personnel factors, the relative weight of the personnel skill level was the largest, which has the highest influence level in the evaluation system. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Business Administration (1025-9627) is the property of National Taipei University, Department of Business Administration and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the theory of fire control and accident causation, the seventeen factors that influence the fire of university laboratories were summarized from the four dimensions of human-material-environment-management. The three-layer interpretative structure model (ISM) was established for fire hazard of university laboratories. The network analytic hierarchy process (ANP) is introduced to further optimize the ISM model. According to the results of the limit matrix, the weights of the indexe of the fire hazard of university laboratory were calculated. The research results show that the three-layer ISM model can effectively express the interaction between various factors and reveal the deep root causes which lead to the fire occurrence in university laboratories. According to the ANP method, the order of weight of each index is as follows: material and equipment, researchers quality, safety management, building and the external environment. It provides an important theorical basis for the effective prevention fire of university laboratories. [ABSTRACT FROM AUTHOR]

High-quality earnings is the cornerstone of the healthy and sustainable development of the company and the financial crisis is a comprehensive performance of financial quality. Based on the theory of harmony, this paper analyzes the mechanism of financial crisis from the aspects of earnings quality and the balance of its each dimension and establishes the financial crisis' evaluation index system based on earnings quality pyramid. Considering the mutual influence between the evaluation indicators and the attribute value transfer of the constant weight comprehensive model, this paper establishes the decision-making and trial evaluation based analytic network process (DANP) double layer penalty variable weight time series financial early-warning model to judge the financial condition. Through the empirical data of listed companies, the critical interval of the financial early warning comprehensive value is [0.6494, 0.6547]. Its prediction accuracy rate reaches 91.53%. The smaller the value, the greater the likelihood of the financial crisis. It has an incremental contribution to the study of the mechanism of financial crisis in theory and it helps companies supervise their financial situation in practice. [ABSTRACT FROM AUTHOR]

The suitability evaluation of land reclamation in coal mining subsidence area is helpful to carry out land reclamation work scientifically in mining areas. In this manuscript, Zhaogu 1st Mine was used as an example, and ten indicators were selected from four aspects of topography, location conditions, soil conditions and human conditions to construct the land reclamation suitability evaluation system, and constructing the spatial dataset of evaluation indicators from the spatial level based on ArcGIS grid analysis function. At the same time, the triangular fuzzy analytic hierarchy process (TF-AHP) was used to empower the evaluation indicators from the suitability of cultivated land, garden and woodland. This method takes into account the subjective ambiguity of the evaluator, thereby improving the accuracy of weight distribution. Then, the weighted superposition of the spatial data of each index was realized by grey correlation analysis, and the suitability distribution of the three reclamation directions was obtained by the natural breakpoint module in ArcGIS. On this basis, we introduced an improved comprehensive extreme evaluation method for suitability analysis, which combined the order of land code of the second national land survey, suitability level of cultivated land, garden and woodland to obtain a five or six evaluation integrated value (MLS). The results can reflect the status of land use of the evaluation unit, and also reflect the suitability level of the unit for different reclamation directions. The research area was divided into 102 evaluation units by using MLS as the fusion field. And according to the principle of “adapting to local conditions, prioritizing cultivated land and reclaiming into the most suitable land type”, the direction of reclamation of each reclamation unit was determined. Finally, the evaluation of the suitability of reclamation in coal mining subsidence area was realized, and the suitability level of each reclamation direction was delimited. The results showed that there are differences in the suitability of different reclamation directions in the study area, mainly manifested as woodland > garden > cultivated land. Based on GIS, the study area was divided into 102 evaluation units with consistent or similar attributes. With comprehensively considering the results of suitability evaluation and natural and economic conditions and infrastructure conditions, the study area was finally divided into four reclamation sub-areas, and 10 sub-division levels: the suitable area of cultivated land was 1 296.09 hm2, accounting for 62.95% of the total area, mainly distributed in the light and moderate damage zone of the central and western subsidence area. The suitable area of the garden was 16.29 hm2, accounting for 0.79%, scattered in the light and moderate damage zone. The suitable area of forest land was 689.49 hm2, accounting for 33.49% of the total area, mainly distributed in the middle-eastern subsidence which had a large terrain relief. The unsuitable area was 57.15 hm2, accounting for 2.78% of the total area, mainly concentrated in the northern edge area of the central severe damage area. The evaluation method of this manuscript took into account the difference of the contribution degree of the evaluation indicators of different reclamation directions and the subjective ambiguity of the evaluator. The use of GIS reduced human interference and made the evaluation unit division more objective. And which has better application than the traditional evaluation method and makes the evaluation results more scientific and reliable. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Fuzhou University is the property of Journal of Fuzhou University, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Coal mine emergency rescue capability evaluation model based on ANP and fuzzy comprehensive evaluation method was established in view of interdependence and feedback relationship between evaluation indexes. Empirical research on the model was carried out by means of Super Decisions software and expert marking system to realize empowerment and marking of each index, then emergency rescue capability of different coal mines can be evaluated. Empirical research result shows that the model has good feasibility and effectiveness, and has a certain reference function to research of coal mine emergency rescue capability evaluation.

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to cope with the interdependence and interrelationship between evaluation criteria in effectiveness evaluation index system,and to eliminate the subjectivity of expert’s preference in the evaluation process,making use of big simulation data,a method of building index system based on big simulation data of supernetting characteristic parameter and ANP was proposed.Then,by taking a weapon SoS simulation scenario as example,a process of building networked evaluation index system was proposed and the corresponding networked index system was built.Simultaneously,the correlation between criteria was deeply mined.The example analysis verifies the reasonability and effectiveness of proposed method for building evaluation index system.It provides reliable theoretical basis for weapon SoS effectiveness evaluation.

Considering the characters of higher education industry opening-up the evaluation model is built from opening-up investment achievements and polices supporting by using analytic net work process. The it analyzes the weights and importance degree of each index. The research will provide references for the internationalization of higher education industry. [ABSTRACT FROM AUTHOR]

Enterprise IT system architecture is changing as the rapid development of cloud computing technology, an enterprise cloud migration suitability evaluation method based on Service Oriented Architecture (SOA) modeling and simulation is proposed to promote the decision-making level of whether the enterprise IT system is suitable for deployment in private cloud or not. Through enterprise cloud application system architecture view modeling and executable Colored Petri Nets (CPN) model simulation, the method establishes cloud migration suitability evaluation metrics from enterprise cloud application demand and cloud service attribute. Combination of both qualitative analysis and quantitative methods is used in the comprehensive evaluation process and analysis steps of the enterprise cloud migration suitability Analytic Network Process (ANP). Finally, the feasibility and effectiveness of the method is validated by an enterprise use case. [ABSTRACT FROM AUTHOR]

In order to solve the pavement preventive maintenance decision-making problem which is characteristic of multiple-target, multiple-attribute with independent and feedback actions, a multi-attributes maintenance decision-making models are established, which are based on analytic network process. In ANP, the system elements of the object are classified into two parts: The first part is known as control element layer, including the decision target and criteria for the decision; and the second part is known as network layer, composed of interdependent elements controlled by the control layer. A practical example is selected to demonstrate the effectiveness of the method, which is under general principles of comprehensive consideration of cost, benefit and risk possibility, followed by detailed considerations of pavement performance indexes, such as skid resistance capacity, roughness, cracking, owner's costs, users' costs, quality risk, financial risk and work period risk; and for six preventive maintenance schemes. The results show that ANP are more likely close to practical decision environment. [ABSTRACT FROM AUTHOR]