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Generalized intuitionistic multiplic...

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Generalized intuitionistic multiplicative fuzzy calculus theory and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Generalized intuitionistic multiplicative fuzzy calculus theory and applicationsby Shan Yu, Zeshui Xu.
作者:	Yu, Shan.
其他作者:	Xu, Zeshui.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xiv, 120 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy sets.
電子資源:	https://doi.org/10.1007/978-981-15-5612-8
ISBN:	9789811556128$q(electronic bk.)

Generalized intuitionistic multiplicative fuzzy calculus theory and applications
Yu, Shan.

Generalized intuitionistic multiplicative fuzzy calculus theory and applications[electronic resource] /by Shan Yu, Zeshui Xu. - Singapore :Springer Singapore :2020. - xiv, 120 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-996X. - Uncertainty and operations research..

Chapter 1. Basic operations between generalized intuitionistic multiplicative fuzzy information -- Chapter 2. Derivatives and differentials for generalized intuitionistic multiplicative fuzzy information -- Chapter 3. Indefinite integrals of generalized intuitionistic multiplicative fuzzy functions -- Chapter 4. Definite integrals of generalized intuitionistic multiplicative fuzzy functions -- Chapter 5. Several applications based on the definite integral models for (generalized) intuitionistic (multiplicative) fuzzy information.

This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The book pursues three major objectives: (1) to introduce the calculus models with concrete mathematical expressions for generalized intuitionistic multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved approaches by military case. The book is especially valuable for readers to understand how the theoretical framework of generalized intuitionistic multiplicative fuzzy calculus is constructed, not only discrete or continuous but also correlative (generalized) intuitionistic (multiplicative) fuzzy information is aggregated based on the definite integral models and the theory with a military practice is integrated, which would deepen the understanding and give researchers more inspiration in practical decision analysis under uncertainties.

ISBN: 9789811556128$q(electronic bk.)

Standard No.: 10.1007/978-981-15-5612-8doiSubjects--Topical Terms:

182529
Fuzzy sets.

LC Class. No.: QA248 / .Y874 2020

Dewey Class. No.: 511.3223

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505 0 $a Chapter 1. Basic operations between generalized intuitionistic multiplicative fuzzy information -- Chapter 2. Derivatives and differentials for generalized intuitionistic multiplicative fuzzy information -- Chapter 3. Indefinite integrals of generalized intuitionistic multiplicative fuzzy functions -- Chapter 4. Definite integrals of generalized intuitionistic multiplicative fuzzy functions -- Chapter 5. Several applications based on the definite integral models for (generalized) intuitionistic (multiplicative) fuzzy information.
520 $a This book mainly introduces the latest development of generalized intuitionistic multiplicative fuzzy calculus and its application. The book pursues three major objectives: (1) to introduce the calculus models with concrete mathematical expressions for generalized intuitionistic multiplicative fuzzy information; (2) to introduce new information fusion methods based on the definite integral models; and (3) to clarify the involved approaches by military case. The book is especially valuable for readers to understand how the theoretical framework of generalized intuitionistic multiplicative fuzzy calculus is constructed, not only discrete or continuous but also correlative (generalized) intuitionistic (multiplicative) fuzzy information is aggregated based on the definite integral models and the theory with a military practice is integrated, which would deepen the understanding and give researchers more inspiration in practical decision analysis under uncertainties.
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