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This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.

Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000673	EB0003287	511.3223 Xu h	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title: Studies in Fuzziness and Soft Computing
Call Number: 511.3223 Xu h
Publisher: Switzerland : Springer Cham., 2014
Collation: x, 466p.: Ill.
Language: English
ISBN/ISSN: 978-3-319-04711-9
Classification: 511.3223
Content Type: Ebook
Media Type: -
Carrier Type: online resource
Edition: 1
Subject(s): Fuzzy sets
Specific Detail Info: -
Statement of Responsibility: RTS

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Hesitant Fuzzy Sets Theory

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