MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach
✍ Scribed by O. Cordón; M. J. del Jesus; F. Herrera; M. Lozano
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 219 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0884-8173
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✦ Synopsis
main aim of this paper is to present MOGUL, a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. MOGUL will consist of some design guidelines that allow us to obtain different genetic fuzzy rule-based systems, i.e., evolutionary algorithm-based processes to automatically design fuzzy rulebased systems by learning andror tuning the fuzzy rule base, following the same generic structure and able to cope with problems of a different nature. A specific evolutionary learning process obtained from the paradigm proposed to design unconstrained approximate Mamdani-type fuzzy rule-based systems will be introduced, and its accuracy in the solving of a real-world electrical engineering problem will be analyzed.