Advances in Fuzzy MCDM, Hybrid Methods, Fuzzy Number Ranking and Their Applications

Dear Colleagues,

Fuzzy multiple criteria decision making (MCDM) and multiple attribute decision making (MADM), which are usually used interchangeably in the literature, are useful tools for modelling and resolving complex decision-making problems with imprecise and ambiguous data in an uncertain environment. In the past decade, numerous fuzzy MCDM techniques and their hybrid methods, among them AHP/fuzzy AHP, ANP/fuzzy ANP, ELECTRE/fuzzy ELECTRE, PROMETHEE/fuzzy PROMETHEE, MODM/fuzzy MODM, optimization methods/fuzzy optimization methods, TOPSIS/fuzzy TOPSIS, DEMATEL/fuzzy DEMATEL, VIKOR/fuzzy VIKOR, etc., have been extensively investigated. In most fuzzy MCDM techniques and their hybrid methods, ratings of alternatives versus criteria and criteria weights are usually assessed in linguistic terms represented by fuzzy numbers such as type-1, type-2, intuitionistic, bipolar, hesitant, Pythagorean, etc. Therefore, methods for the computing of words, aggregating of fuzzy numbers, and ranking of fuzzy numbers are needed to complete the fuzzy MCDM and hybrid models to resolve the problems. The guest editor would like to provide a platform to present the latest advances in the aspects of fuzzy MCDM techniques, hybrid methods, computing of words, aggregating of fuzzy numbers, fuzzy number ranking, and their various applications. This Special Issue is devoted to state-of-the-art research on the above topics. The goal is to help to foster the development and practice of fuzzy MCDM techniques to resolve management, business, engineering, or societal problems in an uncertain environment. Any theoretical, empirical, and experimental works related to the above (or other relevant) topics associated with solution methods and/or applications are welcome.

We hope that this initiative will be attractive to researchers specialized in the above-mentioned topics. Contributions may be submitted on a continuous basis before the deadline. After a peer-review process, submissions will be selected for publication based on their quality and relevance.

Prof. Dr. Ta-Chung Chu
Prof. Dr. Wei-Chang Yeh
Guest Editors

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