Linguistic modeling with hierarchical systems of weighted linguistic rules

Recently, many different possibilities to extend the Linguistic Fuzzy Modeling have been considered in the specialized literature with the aim of introducing a trade-off between accuracy and interpretability. These approaches are not isolated and can be combined among them when they have complementa...

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Detalles Bibliográficos
Publicado: 2003
Materias:
Genetic algorithms
Hierarchical fuzzy systems
Linguistic Fuzzy Modeling
Weighted linguistic rules
Fuzzy sets
Hierarchical systems
Learning systems
Linguistics
Optimization
Knowledge based systems
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0888613X_v32_n2-3_p187_Alcala
http://hdl.handle.net/20.500.12110/paper_0888613X_v32_n2-3_p187_Alcala
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_0888613X_v32_n2-3_p187_Alcala
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spelling paper:paper_0888613X_v32_n2-3_p187_Alcala2023-06-08T15:47:00Z Linguistic modeling with hierarchical systems of weighted linguistic rules Genetic algorithms Hierarchical fuzzy systems Linguistic Fuzzy Modeling Weighted linguistic rules Fuzzy sets Genetic algorithms Hierarchical systems Learning systems Linguistics Optimization Weighted linguistic rules Knowledge based systems Recently, many different possibilities to extend the Linguistic Fuzzy Modeling have been considered in the specialized literature with the aim of introducing a trade-off between accuracy and interpretability. These approaches are not isolated and can be combined among them when they have complementary characteristics, such as the hierarchical linguistic rule learning and the weighted linguistic rule learning. In this paper, we propose the hybridization of both techniques to derive Hierarchical Systems of Weighted Linguistic Rules. To do so, an evolutionary optimization process jointly performing a rule selection and the rule weight derivation has been developed. The proposal has been tested with two real-world problems achieving good results. © 2002 Elsevier Science Inc. All rights reserved. 2003 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0888613X_v32_n2-3_p187_Alcala http://hdl.handle.net/20.500.12110/paper_0888613X_v32_n2-3_p187_Alcala
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Genetic algorithms
Hierarchical fuzzy systems
Linguistic Fuzzy Modeling
Weighted linguistic rules
Fuzzy sets
Genetic algorithms
Hierarchical systems
Learning systems
Linguistics
Optimization
Weighted linguistic rules
Knowledge based systems
spellingShingle Genetic algorithms
Hierarchical fuzzy systems
Linguistic Fuzzy Modeling
Weighted linguistic rules
Fuzzy sets
Genetic algorithms
Hierarchical systems
Learning systems
Linguistics
Optimization
Weighted linguistic rules
Knowledge based systems
Linguistic modeling with hierarchical systems of weighted linguistic rules
topic_facet Genetic algorithms
Hierarchical fuzzy systems
Linguistic Fuzzy Modeling
Weighted linguistic rules
Fuzzy sets
Genetic algorithms
Hierarchical systems
Learning systems
Linguistics
Optimization
Weighted linguistic rules
Knowledge based systems
description Recently, many different possibilities to extend the Linguistic Fuzzy Modeling have been considered in the specialized literature with the aim of introducing a trade-off between accuracy and interpretability. These approaches are not isolated and can be combined among them when they have complementary characteristics, such as the hierarchical linguistic rule learning and the weighted linguistic rule learning. In this paper, we propose the hybridization of both techniques to derive Hierarchical Systems of Weighted Linguistic Rules. To do so, an evolutionary optimization process jointly performing a rule selection and the rule weight derivation has been developed. The proposal has been tested with two real-world problems achieving good results. © 2002 Elsevier Science Inc. All rights reserved.
title Linguistic modeling with hierarchical systems of weighted linguistic rules
title_short Linguistic modeling with hierarchical systems of weighted linguistic rules
title_full Linguistic modeling with hierarchical systems of weighted linguistic rules
title_fullStr Linguistic modeling with hierarchical systems of weighted linguistic rules
title_full_unstemmed Linguistic modeling with hierarchical systems of weighted linguistic rules
title_sort linguistic modeling with hierarchical systems of weighted linguistic rules
publishDate 2003
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0888613X_v32_n2-3_p187_Alcala
http://hdl.handle.net/20.500.12110/paper_0888613X_v32_n2-3_p187_Alcala
_version_ 1768543662242791424

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