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Type-2 Fuzzy Granular Models

Type-2 Fuzzy Granular Models

Inhalt

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.

Bibliografische Angaben

September 2016, 93 Seiten, SpringerBriefs in Computational Intelligence, SpringerBriefs in Applied Sciences and Technology, Englisch
Springer Nature EN
978-3-319-41287-0

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Weitere Titel der Reihe: SpringerBriefs in Computational Intelligence

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