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

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	September 2016
First published:	2017
Authors:	Mauricio A. Sanchez • Oscar Castillo • Juan R. Castro
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
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-41287-6
Barcode:	9783319412870

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!