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A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-based System Data Base by O. Cordón; F. Herrera; L. Magdalena; P. Villar is a Computer Science article available to read on EtoBox.

What is A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-based System Data Base about?

In this contribution, we propose a new method to automatically learn the Knowledge Base of a Fuzzy Rule-Based System by ®nding an appropriate Data Base using a Genetic Algorithm and considering a simple generation method to derive the Rule Base. Our genetic process learns all the components of the Data Base (number of labels, working ranges and membership function shapes for each linguistic variable) using a non-linear scaling function to adapt the fuzzy partition contexts.

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Author

O. Cordón; F. Herrera; L. Magdalena; P. Villar

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0020-0255)

Published

2001

Language

EN

Field

Computer Science (Physical Sciences)