Type-2 Fuzzy Granular Models

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SpringerBriefs in Applied Sciences and Technology – SpringerBriefs in Computational Intelligence

ISBN: 3319412876
ISBN 13: 9783319412870
Autor: Sanchez, Mauricio A/Castillo, Oscar/Castro, Juan R
Verlag: Springer Verlag GmbH
Umfang: viii, 93 S., 9 s/w Illustr., 51 farbige Illustr., 93 p. 60 illus., 51 illus. in color.
Erscheinungsdatum: 02.09.2016
Auflage: 1/2017
Produktform: Kartoniert
Einband: KT

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules.

Artikelnummer: 9450860 Kategorie:

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