Hesitant fuzzy sets theory [electronic resource] / Zeshui Xu.
2014
QA248.5
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Details
Title
Hesitant fuzzy sets theory [electronic resource] / Zeshui Xu.
Author
Xu, Zeshui, author.
ISBN
9783319047119 electronic book
3319047116 electronic book
9783319047102
3319047116 electronic book
9783319047102
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource (x, 466 pages) : illustrations (some color).
Other Standard Identifiers
10.1007/978-3-319-04711-9 doi
Call Number
QA248.5
Dewey Decimal Classification
511.3/223
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed February 3, 2014).
Series
Studies in fuzziness and soft computing ; v.314. 1434-9922
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Table of Contents
Hesitant Fuzzy Aggregation Operators and Their Applications
Distance, Similarity, Correlation, Entropy Measures and Clustering
Algorithms for Hesitant Fuzzy Information
Hesitant Preference Relations
Hesitant Fuzzy MADM Models.
Distance, Similarity, Correlation, Entropy Measures and Clustering
Algorithms for Hesitant Fuzzy Information
Hesitant Preference Relations
Hesitant Fuzzy MADM Models.