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Information Measures for Hesitant Fuzzy Sets and Their Extensions

  • Bahram Farhadinia
  • Zeshui Xu

Part of the Uncertainty and Operations Research book series (UOR)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Bahram Farhadinia, Zeshui Xu
    Pages 1-29
  3. Bahram Farhadinia, Zeshui Xu
    Pages 31-58
  4. Bahram Farhadinia, Zeshui Xu
    Pages 59-67
  5. Bahram Farhadinia, Zeshui Xu
    Pages 69-102

About this book

Introduction

This book gives a thorough and systematic introduction to the latest research results on hesitant fuzzy and its extensions decision making theory. It includes five chapters: Hesitant Fuzzy Set and its Extensions, Distance Measures for Hesitant Fuzzy Sets and Their Extensions, Similarity Measures for Hesitant Fuzzy Sets and Their Extensions, Entropy Measures for Hesitant Fuzzy Sets and Their Extensions, and Application of Information Measures in Multiple Criteria Decision Making. These methodologies are also implemented in various fields such as decision making, medical diagnosis, cluster analysis, environmental management, etc. This book is suitable for the engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science and management science and engineering, etc. It can also be used as a textbook for postgraduate and senior-year undergraduate students of the relevant professional institutions of higher learning.

Keywords

Fuzzy Hesitant fuzzy set Multiple criteria decision making Distance measure Similarity measure Entropy measure

Authors and affiliations

  • Bahram Farhadinia
    • 1
  • Zeshui Xu
    • 2
  1. 1.Quchan University of TechnologyQuchanIran
  2. 2.Business SchoolSichuan UniversityChengduChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-3729-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management
  • Print ISBN 978-981-13-3728-4
  • Online ISBN 978-981-13-3729-1
  • Series Print ISSN 2195-996X
  • Series Online ISSN 2195-9978
  • Buy this book on publisher's site
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