Hesitant Fuzzy Set - Theory and Extension (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Computational Intelligence Methods and Applications
Release date:	December 2021
First published:	2021
Authors:	Bahram Farhadinia
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	151
Edition:	1st ed. 2021
ISBN-13:	978-981-16-7300-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	981-16-7300-4
Barcode:	9789811673009

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