Article

Article title FEATURES OF CONSTRUCTION OF DATA MINING SYSTEMS ON THE BASIS OF FUZZY HYBRID METHODS
Authors L.A. Gladkov, N.V. Gladkova
Section SECTION III. ARTIFICIAL INTELLECT AND INDISTINCT SYSTEMS
Month, Year 12, 2009 @en
Index UDC 519.712.2
DOI
Abstract In article the basic differences of methods Data Mining from traditional methods of the analysis are resulted. Also advantages and lacks of methods Data Mining are discussed and offers under their decision on the basis of use of hybrid intellectual technologies and methods of computing intelligence are resulted. Also the basic aspects of application of fuzzy genetic algorithms for the decision of problems of extraction of knowledge are considered. The generalized structure of the fuzzy logic controller is resulted and the basic idea of its application is described. The basic components of the organization and process of interaction of genetic algorithm and the fuzzy logic controller are described. The basic directions and problems of creation of fuzzy genetic algorithms are short presented. In the conclusion the substantiation of an urgency of working out of new hybrid methods of the analysis and extraction of data is resulted.

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Keywords Data mining; fuzzy genetic algorithm; fuzzy logic controller; fuzzification; defuzzification.
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