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Extension of the fuzzy sugeno integr...

Martinez, Gabriela E.

Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logic

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logicby Patricia Melin, Gabriela E. Martinez.
作者:	Melin, Patricia.
其他作者:	Martinez, Gabriela E.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xiii, 65 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
電子資源:	https://doi.org/10.1007/978-3-030-16416-4
ISBN:	9783030164164$q(electronic bk.)

Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logic
Melin, Patricia.

Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logic[electronic resource] /by Patricia Melin, Gabriela E. Martinez. - Cham :Springer International Publishing :2020. - xiii, 65 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a wide variety of decision-making applications. The authors also demonstrate that the extended aggregation operator offers better performance than other traditional or extended operators. The book is a valuables reference resource for students and researchers working on theory and applications of fuzzy logic in various areas of application where decision making is performed under high levels of uncertainty, such as pattern recognition, time series prediction, intelligent control and manufacturing.

ISBN: 9783030164164$q(electronic bk.)

Standard No.: 10.1007/978-3-030-16416-4doiSubjects--Topical Terms:

181981
Fuzzy logic.

LC Class. No.: QA9.64 / .M455 2019

Dewey Class. No.: 511.3

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520 $a This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a wide variety of decision-making applications. The authors also demonstrate that the extended aggregation operator offers better performance than other traditional or extended operators. The book is a valuables reference resource for students and researchers working on theory and applications of fuzzy logic in various areas of application where decision making is performed under high levels of uncertainty, such as pattern recognition, time series prediction, intelligent control and manufacturing.
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