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The theory of T-spherical fuzzy (T-SF) sets possesses remarkable capability to manage intricate uncertain information. The REGIME method is a well-established technique concerning discrete choice analysis. This paper comes up with a multiple-criteria choice analysis approach supported by the REGIME structure for manipulating T-SF uncertainties. This paper constructs new-created measurements such as superiority identifiers and guide indices for relative attractiveness and fittingness, respectively, between T-SF characteristics. This study evolves the T-SF REGIME I and II prioritization procedures for decision support. The application and comparative studies exhibit the effectiveness and favorable features of the propounded T-SF REGIME methodology in real decisions. [ABSTRACT FROM AUTHOR]

Employee performance evaluations are one type of decision-making process that is embedded with uncertainty and ambiguity before concluding the final index. After reviewing different approaches to achieving such target, this paper introduces the implementation of fuzzification mechanism termed as "Fuzzimetric Sets" as a method of defining the minimum and maximum tolerance possibilities within pre-defined fuzzy sets. Decision-making evaluation process would be dependent on the inferred minimum to maximum defuzzified differences (spectrum). Based on this concept, a prototype was built to measure the employee performance level allowing much more flexibility when taking a decision under uncertainty. This application was termed as "Fuzzimetric Employee Evaluation System" (FEES). Comparative study of FEES was done by comparing the results of the work of another researcher investigated the same field of Fuzzy-employee-evaluation. [ABSTRACT FROM AUTHOR]

This paper proposed a concept based on q-rung orthopair fuzzy sets (q-ROFSs) and linguistic term sets called q-rung orthopair linguistc sets (q-ROLSs). This study also investigates a novel multi-criteria decision-making (MCDM) approach in which the arguments take the form of q-ROLSs, we extend Muirhead mean (MM) aggregation operators under q-rung orthopair linguistic environment. Firstly, certain operational laws of q-ROLSs are investigated. Secondly, the q-rung orthopair linguistic Muirhead mean, the q-rung orthopair linguistic weighted Muirhead mean and the q-rung orthopair linguistic weighted geometric Muirhead mean operators are presented. Special cases of the q-rung orthopair linguistic Muirhead mean operators and their properties are analysed. With these foundations as basis, an approach is developed to be applied to MCDM problems based on the proposed operators. Finally, a practical example is developed to illustrate this method and comparative analysis demonstrate the superiorities of the aggregation operators. [ABSTRACT FROM AUTHOR]

EDAS (Evaluation Based on Distance from Average Solution) is based on the distances of each alternative from the average solution. It is similar to other distance based multi-attribute decision-making methods such as TOPSIS and VIKOR. Hesitant fuzzy sets are an extension of ordinary fuzzy sets where the hesitation arises in the assignment of membership degrees of the elements to a fuzzy set. In this paper, we extend classical EDAS method to its hesitant fuzzy version in order to capture decision makers' hesitancies. The proposed Hesitant Fuzzy Evaluation Based on Distance from Average Solution (HF-EDAS) is based on different aggregation operators with defuzzification and without-defuzzification processes, which is presented by four HF-EDAS versions. The proposed method has been applied to a multi-criteria and multi-expert hospital selection problem for organ transplantation. Additionally, we present a comparative analysis with hesitant fuzzy TOPSIS (HF-TOPSIS). The results show that HF-EDAS selects the same best alternative as HF-TOPSIS. However, the proposed versions of HF-EDAS indicated some slight changes in the ranking of alternatives. [ABSTRACT FROM AUTHOR]

In many applications, we need to numerically express the difference of two objects (notions) by means of distance and similarity between the corresponding interval type-2 fuzzy sets (IT2 FSs). In this paper, we propose two new signed distances between interval type-2 trapezoidal fuzzy numbers (IT2 TrFNs) and some properties of their have been introduced. We also give an approach to construct similarity measures using the signed distance for IT2 TrFNs. Several illustrative examples are given to demonstrate the practicality and effectiveness of the proposed measures. [ABSTRACT FROM AUTHOR]

In multi-attribute group decision making (MAGDM) problems, the information about attribute weights and the performance ratings of alternatives usually cannot be accurately quantified. This issue has motivated the development of various MAGDM models based on the fuzzy sets theory. However, these fuzzy MAGDM models mostly rely on using the extreme or expected values, but ignore the intermediate occurrences in determining the best alternatives. In order to provide a complete understanding of decision makers' preference structure, this paper takes a stochastic perspective and proposes a simulation-based approach to facilitate MAGDM under uncertainty when both quantitative and qualitative attributes are involved. The approach not only accounts for the incomplete information about the attribute weights during decision making, but also allows for the use of comparative linguistic expressions to better capture the decision makers' hesitancy about linguistic expressions. We apply the proposed approach to electric vehicle charging station site selection problem and highlight its effectiveness and advantages through an in-depth comparative analysis with some of the existing methods. [ABSTRACT FROM AUTHOR]

Open government reform is frequently being used to promote greater transparency and participation in government. But conceptual models of transparency success have not been well articulated, and there is a puzzle regarding whether and why transparency policies perform. One way forward is to assess negative cases of when open government initiatives fall far short of their stipulated goals. Policy failure can be specifically measured and has strong empirical and normative salience given that poor transparency performance is a common phenomenon. In order to address the transparency performance puzzle, this paper employs institutional theory and uses fuzzy set qualitative comparative analysis to assess whether any combination of factors proposed by the theory present necessary or sufficient conditions for failing open government initiatives. Results show that no single condition is necessary for failure to occur. Four 'recipes' of policy failure exist revealing a strong influence of lack of legal mandates and weak civil society support combined with either a poor information rights environment or low resources. [ABSTRACT FROM AUTHOR]

Multi-granulation rough set(MGRS), as a kind of fusion mechanism of different information or data, is an useful development of Pawlak rough set theory. Firstly, this paper gives an introduction for various types of MGRS, their properties and axiomatization characterizations are studied. We show that, except for the optimistic one, each of the existing MGRS means a single granulation rough set. Then, we made a comparative analysis on the different uncertainty measures among the various multi-granulation approximation spaces. At the basis of investigating for the existing uncertainty measures, we discuss their limitations via some examples, and propose a total ordered relation among approximation spaces, even in the more general covering ones. It will be better than the original partial relation in revealing uncertainty, which conceal in the approximation space or covering one. Finally, based on the total ordered relation, we present improved information entropy, rough entropy, knowledge granulation and axiomatic definition of the knowledge granulation measures. It is proved that they are more reasonable than the original ones. Then, some novel uncertainty measures and improved fusion uncertainty measures about various granulations are also proposed. By employing these measures, granulation measures of various MGRSs are defined and studied. [ABSTRACT FROM AUTHOR]

Technology trading matching facilitates quicker solution-finding for technology demanders and expedites the transformation of scientific and technological achievements. Yet, unstable matchings often lead traders to renounce existing contracts, sidestep trading intermediaries, and resort to private transactions. This results in inefficient trading mechanisms and market disarray. To ensure a stable and mutually satisfactory match for both suppliers and demanders, we propose a stable two-sided matching decision-making method that incorporates intuitionistic fuzzy multi-attribute information. Initially, we introduce an intuitionistic fuzzy TOPSIS approach to compute the comprehensive satisfaction of both suppliers and demanders by aggregating intuitionistic fuzzy information across various attributes. Subsequently, we design a multi-objective optimization model that weighs both stability and satisfaction to determine the ideal technology trading pairs. We conclude with a real-world example that demonstrates the proposed method's application, and its effectiveness is corroborated through sensitivity and comparative analyses. [ABSTRACT FROM AUTHOR]

Construction site selection is a complex probleminvolving many alternatives and conflicting criteria with vague and imprecise evaluations. Fuzzymulti-criteria decision-making methods are the most effective tools to obtain optimum solutions under possibilistic uncertainty. In this paper, a novel interval hesitant fuzzy CODAS method is proposed and applied to a residential construction site selection problem. A comparative analysis with ordinary fuzzy CODAS method is applied for validating the proposed method. Also, a sensitivity analysis is conducted for the stability of the ranking results of the interval hesitant fuzzy CODAS method. The results of the analyses demonstrate the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

This study aims to explore the configurations of potential relevant antecedents in 3D printing medical Market for achieving high user satisfaction from both the suppliers' and users' perspectives. The important antecedents in this study include relationship marketing, innovation, 3D printing perceived values, and 3D printing perceived risk. Firstly, this study investigates the relationships among potential relevant antecedents and user satisfaction. Furthermore, to explore the gap between users' evaluation and innovation suppliers' perception, this study addresses this issue based on both perspectives of suppliers and buyers. To assess the applicability of the proposed model, we employed questionnaires survey and collected primary data from 3D printing suppliers and their customers. Moreover, the fuzzy set qualitative comparative analysis (fsQCA) approach has been applied for evaluating the effectiveness of relationship marketing and innovation in 3D printing medical market. Finally, the numerical results indicate that there is one causal configuration (i.e., 1A) found to be sufficient for high user satisfaction for the perspectives of 3D printing suppliers and three configurations for the perspectives of 3D printing customers. In the perspectives of 3D printing suppliers, the combination of relationship marketing, innovation, and 3D printing perceived value is sufficient conditions causing high user satisfaction. However, there are three causal configurations (i.e., 1B, 2B, and 3B) found to be sufficient for high user satisfaction for the perspectives of 3D printing customers. [ABSTRACT FROM AUTHOR]

This study conducts data analysis on hypocritical and non-hypocritical enterprises to explore the influence of altruistic motivation perception on corporate social responsibility (CSR) implementation, CSR communication, and corporate hypocrisy. To analyze the data of hypocritical and non-hypocritical companies, a fuzzy set qualitative comparative analysis is applied. In hypocrisy enterprises, high neutral altruism and low positive altruism are sufficient conditions for high CSR communication. Low negative altruism is a necessary condition for CSR implementation, and low positive altruism and high neutral altruism are sufficient conditions for CSR implementation. And low positive altruism and low CSR implementation behavior are sufficient conditions for corporate hypocrisy, while high neutral altruism is sufficient conditions for corporate hypocrisy. In non-hypocritical enterprises, high neutral altruism and high negative altruism are sufficient conditions for high CSR communication. And high CSR implementation needs high positive altruism and CSR communication interaction. And High positive altruism and low CSR communication are sufficient conditions for corporate non-hypocrisy. [ABSTRACT FROM AUTHOR]

Operations for linguistic neutrosophic numbers (LNNs) have been receiving considerable attention. Existing LNNs operations are generally based upon Archimedean triangular norm and triangular conorm. However, the existing operations fail to consider the correlation among variables. Archimedean copulas and co-copulas can not only reveal the correlation among variables but also prevent information loss when they are used as aggregation functions in the aggregation process. Here, LNN operations are redefined based on Archimedean copulas and co-copulas. Meanwhile, some specific cases are discussed. Then, a linguistic neutrosophic improved generalized weighted Choquet Heronian mean operator is developed. According to the proposed operator, a multi-criteria decision-making method is proposed to tackle the selection problem of low-carbon suppliers. The influences of different generated functions and parameters are discussed, and the feasibility of the proposed method are validated through comparative analyses. [ABSTRACT FROM AUTHOR]