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Type-2 Fuzzy Granular Models

Part of the SpringerBriefs in Computational Intelligence series
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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.

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Product Details
3319412876 / 9783319412870
Paperback / softback
006.3
02/09/2016
Switzerland
English
93 pages : illustrations (black and white, and colour)
24 cm