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Hesitant Fuzzy Set: Theory and Extension (Computational Intelligence Methods

Description: 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.

Price: 102 GBP

Location: Gloucester

End Time: 2025-01-10T13:38:17.000Z

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Hesitant Fuzzy Set: Theory and Extension (Computational Intelligence MethodsHesitant Fuzzy Set: Theory and Extension (Computational Intelligence Methods

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EAN: 9789811673009

UPC: 9789811673009

ISBN: 9789811673009

MPN: N/A

Book Title: Hesitant Fuzzy Set: Theory and Extension (Computat

Item Length: 23.4 cm

Item Weight: 0.42 kg

Item Height: 235 mm

Item Width: 155 mm

Series: Computational Intelligence Methods and Applications

Author: Bahram Farhadinia

Publication Name: Hesitant Fuzzy Set: Theory and Extension

Format: Hardcover

Language: English

Publisher: Springer Verlag, Singapore

Subject: Computer Science

Publication Year: 2021

Type: Textbook

Number of Pages: 340 Pages

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