Analyzing and extending hierarchical systems of linguistic rules

In this paper we propose an approach to design linguistic models which are accurate to a high degree. To do so, we use an extension of the structure of the Knowledge Base of Fuzzy Rule Base Systems, i.e., a more flexible Hierarchical Knowledge Base. This flexibility will allow us to have linguistic...

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Detalles Bibliográficos
Publicado:	2001
Materias:	Hierarchical systems Iterative methods Knowledge based systems Linguistics Mathematical models Fuzzy rule base systems Hierarchical knowledge base Linguistic rules Fuzzy sets
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon http://hdl.handle.net/20.500.12110/paper_NIS20539_v2_n_p1121_Cordon
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_NIS20539_v2_n_p1121_Cordon
record_format	dspace
spelling	paper:paper_NIS20539_v2_n_p1121_Cordon2023-06-08T16:39:57Z Analyzing and extending hierarchical systems of linguistic rules Hierarchical systems Iterative methods Knowledge based systems Linguistics Mathematical models Fuzzy rule base systems Hierarchical knowledge base Linguistic rules Fuzzy sets In this paper we propose an approach to design linguistic models which are accurate to a high degree. To do so, we use an extension of the structure of the Knowledge Base of Fuzzy Rule Base Systems, i.e., a more flexible Hierarchical Knowledge Base. This flexibility will allow us to have linguistic rules defined over linguistic partitions with different granularity levels, and thus to improve the modeling of those problem subspaces where the former models have bad performance. The methodology proposed in this paper has been thought as an extension of a previous Two-level methodology -two hierarchical levels-. First, we extend it by developing an Iterative Hierarchical Systems of Linguistic Rules learning methodology with the purpose of performing an accurate refinement of linguistic models in each step of an iterative process -more than two levels-. Later, we extend the Hierarchical Rule Base structure making it more flexible, reinforcing the action of a rule in the subspace where it is defined. This will be performed by allowing the use of weighted and double-consequent reinforced rules. 2001 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon http://hdl.handle.net/20.500.12110/paper_NIS20539_v2_n_p1121_Cordon
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Hierarchical systems Iterative methods Knowledge based systems Linguistics Mathematical models Fuzzy rule base systems Hierarchical knowledge base Linguistic rules Fuzzy sets
spellingShingle	Hierarchical systems Iterative methods Knowledge based systems Linguistics Mathematical models Fuzzy rule base systems Hierarchical knowledge base Linguistic rules Fuzzy sets Analyzing and extending hierarchical systems of linguistic rules
topic_facet	Hierarchical systems Iterative methods Knowledge based systems Linguistics Mathematical models Fuzzy rule base systems Hierarchical knowledge base Linguistic rules Fuzzy sets
description	In this paper we propose an approach to design linguistic models which are accurate to a high degree. To do so, we use an extension of the structure of the Knowledge Base of Fuzzy Rule Base Systems, i.e., a more flexible Hierarchical Knowledge Base. This flexibility will allow us to have linguistic rules defined over linguistic partitions with different granularity levels, and thus to improve the modeling of those problem subspaces where the former models have bad performance. The methodology proposed in this paper has been thought as an extension of a previous Two-level methodology -two hierarchical levels-. First, we extend it by developing an Iterative Hierarchical Systems of Linguistic Rules learning methodology with the purpose of performing an accurate refinement of linguistic models in each step of an iterative process -more than two levels-. Later, we extend the Hierarchical Rule Base structure making it more flexible, reinforcing the action of a rule in the subspace where it is defined. This will be performed by allowing the use of weighted and double-consequent reinforced rules.
title	Analyzing and extending hierarchical systems of linguistic rules
title_short	Analyzing and extending hierarchical systems of linguistic rules
title_full	Analyzing and extending hierarchical systems of linguistic rules
title_fullStr	Analyzing and extending hierarchical systems of linguistic rules
title_full_unstemmed	Analyzing and extending hierarchical systems of linguistic rules
title_sort	analyzing and extending hierarchical systems of linguistic rules
publishDate	2001
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon http://hdl.handle.net/20.500.12110/paper_NIS20539_v2_n_p1121_Cordon
_version_	1769175851216142336

Analyzing and extending hierarchical systems of linguistic rules

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