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Bacterial algorithm applied for fuzzy rule extraction
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Orientador(es)
Resumo(s)
This paper presents a method of using the so-colled "bacterial algorithm" (4,5) for extracting a fuzzy rule base from a training set. The bewly proposed bacterial evolutionary algorithm (BEA) is shown. In our application one bacterium corresponds to a fuzzy rule system.
Descrição
Palavras-chave
Bacterial evolutionary algorithm Fuzzy rule base
Contexto Educativo
Citação
Botzheim, J.; Hámori, B.; Koczy, L. T.; Ruano, A. E. Bacterial algorithm applied for fuzzy rule extraction, Trabalho apresentado em 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), In 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Annecy, 2002.