In this paper, we present a multistage genetic learning process for obtaining linguistic fuzzy rule-based classification systems that integrates fuzzy reasoning methods cooperating with the fuzzy rule base and learns the best set of linguistic hedges for the linguistic variable terms. We show the ap
✦ LIBER ✦
Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms
✍ Scribed by Antonio A. Márquez; Francisco A. Márquez; Antonio Peregrín
- Book ID
- 107593143
- Publisher
- Springer-Verlag
- Year
- 2009
- Tongue
- English
- Weight
- 436 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1864-5909
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