Abstract
Fuzzy logic has been widely used in industry. Knowledge acquisition has been one of the most important problems of fuzzy logic. Experts often have difficulties in describe their know hows. Acquisition of fuzzy if-then rules from experts’ operating data by neural networks and fuzzy neural networks have been vigorously studied. In case those operators are not available, knowledge acquisition is not possible. A new technology to discover knowledge is required. Genetic algorithms (GAs) [1, 2] have been widely studied and applied to many problems.
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© 1997 Springer Science+Business Media New York
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Furuhashi, T. (1997). Development of If-Then Rules with the Use of DNA Coding. In: Pedrycz, W. (eds) Fuzzy Evolutionary Computation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6135-4_5
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DOI: https://doi.org/10.1007/978-1-4615-6135-4_5
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