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Hesitant Fuzzy Sets Theory

  • Zeshui Xu

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 314)

Table of contents

About this book

Introduction

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.

Keywords

Fuzzy Aggregation Fuzzy Clustering Algorithm Fuzzy Decision Making Fuzzy Preference Relation Group Decision Making Hesitant Fuzzy Madm Model Hesitant Information Intuitionistic Fuzzy Element Multi-attribute Decision Making Multi-criteria Decision Making

Authors and affiliations

  • Zeshui Xu
    • 1
  1. 1.Business SchoolSichuang UniversitySichuangPeople's Republic of China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-04711-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-04710-2
  • Online ISBN 978-3-319-04711-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site