Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis
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Beschreibung
The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.
The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.
Offers a systematic introduction to hesitant fuzzy methods for decision making Describes real-life applications of new methods developed by the authors Reports on novel hesitant fuzzy elements theories developed by the authors Includes supplementary material: sn.pub/extras
Autor*in
Xiaolu Zhang
Themen in »Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis«
Hesitant Fuzzy Information Hesitant Fuzzy MCDM Problems Hesitant Index of HFE Hesitant Fuzzy QUALIFLEX Incomplete Weight Information Hesitant Fuzzy TOPSIS Ranking Methods of HFEs Hesitant Fuzzy TODIM Hesitant Fuzzy Programming Model Hesitant Fuzzy LINMAP Ordinal/Cardinal Consensus Index Consensus Model for Group Decision Making Heterogeneous MCGDM Problems Deviation Modeling Method
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“This book mainly investigates the multiple criteria decision making (MCDM) or multiple criteria group decision making (MCGDM) problems in which the criteria values and/or the weights of criteria are expressed as hesitant fuzzy elements (HFEs). … The book is beautifully written. It can be used as a reference for researchers and practitioners working in the field of fuzzy mathematics, operations research, information science, management science and engineering, etc. and as a textbook for postgraduate and senior undergraduate students.” (I. M. Stancu-Minasian, zbMATH 1356.90008, 2017)
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