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Hesitant fuzzy set = theory and exte...

Farhadinia, Bahram.

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Hesitant fuzzy set = theory and extension /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hesitant fuzzy set/ by Bahram Farhadinia.
其他題名:	theory and extension /
作者:	Farhadinia, Bahram.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xvii, 151 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Fuzzy sets. -
電子資源:	https://doi.org/10.1007/978-981-16-7301-6
ISBN:	9789811673016

Hesitant fuzzy set = theory and extension /
Farhadinia, Bahram.

Hesitant fuzzy settheory and extension /[electronic resource] :by Bahram Farhadinia. - Singapore :Springer Singapore :2021. - xvii, 151 p. :ill., digital ;24 cm. - Computational intelligence methods and applications,2510-1773. - Computational intelligence methods and applications..

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.

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.

ISBN: 9789811673016

Standard No.: 10.1007/978-981-16-7301-6doiSubjects--Topical Terms:

562997
Fuzzy sets.

LC Class. No.: QA248.5 / .F37 2021

Dewey Class. No.: 511.3223

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505 0 $a 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.
520 $a 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.
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