Sanchez, Mauricio A. Type-2 Fuzzy Granular Models [electronic resource] / / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro.. — 1st ed. 2017.. — VIII, 93 p. 60 illus., 51 illus. in color. : online resource. — (SpringerBriefs in Computational Intelligence,) 2625-3704. - SpringerBriefs in Computational Intelligence, .

Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. .

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Анотація:
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.

ISBN: 9783319412887

Standard No.: 10.1007/978-3-319-41288-7 doi

Subjects--Topical Terms:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3