Type-2 Fuzzy Granular Models (Paperback, 1st ed. 2017)

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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 Description

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

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

SpringerBriefs in Applied Sciences and Technology

Release date

September 2016

Availability

Expected to ship within 10 - 15 working days

First published

2017

Authors

, ,

Dimensions

235 x 155 x 6mm (L x W x T)

Format

Paperback

Pages

93

Edition

1st ed. 2017

ISBN-13

978-3-319-41287-0

Barcode

9783319412870

Categories

LSN

3-319-41287-6



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