Hybridizing Hierarchical and Weighted Linguistic Rules

Authors:
R. Alcalá;J. Casillas;O. Cordón;F. Herrera;I. Zwir
Affiliations:
University of Jaén, E-23071 Jaén, Spain;University of Granada, E-18071 Granada, Spain;University of Granada, E-18071 Granada, Spain;University of Granada, E-18071 Granada, Spain;University of Buenos Aires, 1428 Buenos Aires, Argentina
Venue:
Proceedings of the 2002 ACM symposium on Applied computing
Year:
2002

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Abstract

In this paper, we propose the hybridization of both hierarchical and weighted linguistic fuzzy rules to derive Hierarchical Systems of Weighted Linguistic Rules. To do so, an evolutionary optimization process jointly performing a rule selection and the derivation of rule weights is developed.