Obtaining a Fuzzy Classification Rule System a Non-Supervised Clustering

Título:

Obtaining a Fuzzy Classification Rule System a Non-Supervised Clustering

Autor:

Hasperué, Waldo

Colaboradores:

; Osella Massa, Germán Leandro

Temas:

REDES NEURONALESCLUSTERINGSISTEMAS DIFUSOS

En:

International Conference on Information Technology Interfaces (30th : 2008 : Cavtat/Dubrovnik)

Resumen:

The fuzzy classification systems have been broadly used to solve control decisionmaking problem. However, its design is complex, even when having a human expert assistance.This paper presents a new strategy capable ofautomatically defining the corresponding Fuzzy Classification Rule System a nonsupervised clustering of the available data. Its application to three data sets of the UCI repository has given quite satisfactory results.

URL/DOI:

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

Datos electrónicos (1 archivo: 124 KB)

Idioma:

Español

Publicación:

, 2008

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