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Title
Hesitant fuzzy set : theory and extension / Bahram Farhadinia.
ISBN
9789811673016 (electronic bk.)
9811673012 (electronic bk.)
9811673004
9789811673009
Publication Details
Singapore : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-7301-6 doi
Call Number
QA248.5
Dewey Decimal Classification
511.3/223
Summary
Covering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic. In the case where different sources of vagueness appear simultaneously, the concept of fuzzy set is not able to properly model the uncertainty, imprecise and vague information. In order to overcome such a limitation, different types of fuzzy extension have been introduced so far. Among them, hesitant fuzzy set was first introduced in 2010, and the existing extensions of hesitant fuzzy set have been encountering an increasing interest and attracting more and more attentions up to now. It is not an exaggeration to say that the recent decade has seen the blossoming of a larger set of techniques and theoretical outcomes for hesitant fuzzy set together with its extensions as well as applications. As the research has moved beyond its infancy, and now it is entering a maturing phase with increased numbers and types of extensions, this book aims to give a comprehensive review of such researches. Presenting the review of many and important types of hesitant fuzzy extensions, and including references to a large number of related publications, this book will serve as a useful reference book for researchers in this field.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2021).
Series
Computational intelligence methods and applications, 2510-1773
Available in Other Form
Print version: 9789811673009
Chapter 1: Hesitant Fuzzy Set
Chapter 2: Hesitant Fuzzy Linguistic Term Set
Chapter 3: Neutrosophic Hesitant Fuzzy Set
Chapter 4: Pythagorean Hesitant Fuzzy Set
Chapter 5: q-Rung Orthopair Hesitant Fuzzy Set
Chapter 6: Probabilistic Hesitant Fuzzy Set
Chapter 7: Type 2 Hesitant Fuzzy Set
Chapter 8: Hesitant Bipolar Fuzzy Set
Chapter 9: Cubic Hesitant Fuzzy Set
Chapter 10: Complex Hesitant Fuzzy Set
Chapter 11: Picture Hesitant Fuzzy Set
Chapter 12: Spherical Hesitant Fuzzy Set.
