Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

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 dec...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Xiaolu (Yazar), Xu, Zeshui (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Fuzziness and Soft Computing, 345
Konular:
Computational intelligence.
Operations research.
Management science.
Artificial intelligence.
Computational Intelligence.
Operations Research, Management Science.
Operations Research and Decision Theory.
Artificial Intelligence.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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. .
Fiziksel Özellikler:XV, 191 p. 6 illus., 3 illus. in color. online resource.
ISBN:9783319420011
ISSN:1860-0808 ;
DOI:10.1007/978-3-319-42001-1

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