This paper presents a novel boosting algorithm for genetic learning of fuzzy classiΓΏcation rules. The method is based on the iterative rule learning approach to fuzzy rule base system design. The fuzzy rule base is generated in an incremental fashion, in that the evolutionary algorithm optimizes one
β¦ LIBER β¦
Combining rough sets and data-driven fuzzy learning for generation of classification rules
β Scribed by Qiang Shen; Alexios Chouchoulas
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 209 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0031-3203
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