Fuzzy decision support system knowledge base generation using a genetic algorithm
نویسندگان
چکیده
منابع مشابه
Fuzzy decision support system knowledge base generation using a genetic algorithm
This paper presents a genetic algorithm (GA) that automatically constructs the knowledge base used by fuzzy decision support systems (FDSS). The GA produces an optimal approximation of a set of sampled data from a very small amount of input information. The main interest of this method is that it can be used to automatically generate (without the help of an expert) a fuzzy knowledge base ± i.e....
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Corresponding Author: Hamedoun Lamiae Laboratory LIROSA, Department of Computer Science, Faculty of Sciences, Abdelmalek Essaadi University, Mhannech II, BP: 2121, Tetouan, Morocco Tel: +212 662 12 32 33 Email: [email protected] Abstract: The present paper proposes a new Hybrid clustering Process based on Fuzzy Genetic System. The proposed Approach consists of two steps: (1) Using a method ...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2001
ISSN: 0888-613X
DOI: 10.1016/s0888-613x(01)00047-0