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Type-2 fuzzy granular models

Castillo, Oscar.

Type-2 fuzzy granular models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Type-2 fuzzy granular modelsby Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro.
Author:	Sanchez, Mauricio A.
other author:	Castillo, Oscar.
Published:	Cham :Springer International Publishing :2017.
Description:	viii, 93 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Granular computing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-41288-7
ISBN:	9783319412887$q(electronic bk.)

Type-2 fuzzy granular models
Sanchez, Mauricio A.

Type-2 fuzzy granular models[electronic resource] /by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro. - Cham :Springer International Publishing :2017. - viii, 93 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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

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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-41288-7doiSubjects--Topical Terms:

224958
Granular computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Type-2 fuzzy granular models
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100 1 $a Sanchez, Mauricio A. $3 769646
245 1 0 $a Type-2 fuzzy granular models $h [electronic resource] / $c by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 93 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions.
520 $a 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.
650 0 $a Granular computing. $3 224958
650 0 $a Fuzzy sets. $3 182529
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
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