Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems
✍ Scribed by Jesús Alcalá-Fdez; Francisco Herrera; Francisco Márquez; Antonio Peregrín
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 376 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0884-8173
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✦ Synopsis
This article presents a study on the use of parametrized operators in the Inference System of linguistic fuzzy systems adapted by evolutionary algorithms, for achieving better cooperation among fuzzy rules. This approach produces a kind of rule cooperation by means of the inference system, increasing the accuracy of the fuzzy system without losing its interpretability. We study the different alternatives for introducing parameters in the Inference System and analyze their interpretation and how they affect the rest of the components of the fuzzy system. We take into account three applications in order to analyze their accuracy in practice.