Type-2 fuzzy granular models

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 appro...

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Detalles Bibliográficos
Autores principales: Sanchez, Mauricio A, Castillo, Oscar, Castro, Juan R
Lenguaje:eng
Publicado: Springer 2017
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-41288-7
http://cds.cern.ch/record/2240394
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author Sanchez, Mauricio A
Castillo, Oscar
Castro, Juan R
author_facet Sanchez, Mauricio A
Castillo, Oscar
Castro, Juan R
author_sort Sanchez, Mauricio A
collection CERN
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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spelling cern-22403942021-04-21T19:24:22Zdoi:10.1007/978-3-319-41288-7http://cds.cern.ch/record/2240394engSanchez, Mauricio ACastillo, OscarCastro, Juan RType-2 fuzzy granular modelsEngineeringIn 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.Springeroai:cds.cern.ch:22403942017
spellingShingle Engineering
Sanchez, Mauricio A
Castillo, Oscar
Castro, Juan R
Type-2 fuzzy granular models
title Type-2 fuzzy granular models
title_full Type-2 fuzzy granular models
title_fullStr Type-2 fuzzy granular models
title_full_unstemmed Type-2 fuzzy granular models
title_short Type-2 fuzzy granular models
title_sort type-2 fuzzy granular models
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-41288-7
http://cds.cern.ch/record/2240394
work_keys_str_mv AT sanchezmauricioa type2fuzzygranularmodels
AT castillooscar type2fuzzygranularmodels
AT castrojuanr type2fuzzygranularmodels

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