FUZZY KNOWLEDGE BASE OPTIMIZATION IN DECISION MAKING SYSTEMS - II

Pablo C. Rovarini Díaz & María de las Mercedes Cerviño

Authors

  • PABLO ROVARINI DIAZ Universidad Tecnológica Nacional – Fac. Reg. Tucumán Las Heras 128, 4000 Tucumán, Argentina
  • MARIA DE LAS MERCEDES CERVIÑIO Universidad Tecnológica Nacional – Fac. Reg. Tucumán Las Heras 128, 4000 Tucumán, Argentina

Keywords:

Fuzzy systems, Rules generation, Optimization, Bacterial algorithms

Abstract

We describe in this paper an attractive alternative for the optimization process of a fuzzy knowledge base, in the framework of our design methodology for fuzzy rule-based systems. This alternative is based on applying a variant of evolutionary algorithms, called bacterial algorithms, developed by Furuhashi [Furuhashi y otros 1995] and colleagues in the last decade of the XX century.

Published

2011-01-01

How to Cite

ROVARINI DIAZ, P., & CERVIÑO, M. D. L. M. (2011). FUZZY KNOWLEDGE BASE OPTIMIZATION IN DECISION MAKING SYSTEMS - II: Pablo C. Rovarini Díaz & María de las Mercedes Cerviño. Scientia Interfluvius, 2(1), 66-77. Retrieved from https://revista.uader.edu.ar/index.php/aasif/article/view/52

Issue

Vol. 2 No. 1 (2011): Scientia Interfluvius Vol II - Num. I (2011)

Section

Artículos

Copyright (c) 2022 PABLO ROVARINI DIAZ, MARIA DE LAS MERCEDES CERVIÑIO

Creative Commons License

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