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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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by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro.
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Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions.
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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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Castro, Juan R.
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Engineering (Springer-11647)
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EB QA76.9.S63 S211 2017
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http://dx.doi.org/10.1007/978-3-319-41288-7
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