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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis: Studies in Fuzziness and Soft Computing, cartea 345

Autor Xiaolu Zhang, Zeshui Xu
en Limba Engleză Paperback – 16 iun 2018
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. 
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Specificații

ISBN-13: 9783319824765
ISBN-10: 3319824767
Ilustrații: XV, 191 p. 6 illus., 3 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Cham, Switzerland

Cuprins

Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS.- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM.- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on QUALIFLEX.- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on LINMAP.- Consensus Model-Based Hesitant Fuzzy Multiple Criteria Group Decision Analysis.

Recenzii

“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)

Textul de pe ultima copertă

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. 

Caracteristici

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