Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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The Method of Rapid Prototyping Fuzzy Inference Systems for Unknown Number of Classes

Anishchenko V.1, Viattchenin D.1, Damaratski A.1, Fisenko V.1
1 United Institute of Informatics Problems NAS of Belarus

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UDC: 591.2/.6(082)
Publication Language: Russian
Stuc. intelekt. 2013; 18(3):307-315

Abstract: A modification of the method of rapid prototyping fuzzy inference systems based on the results of the processing of the training data set by a heuristic algorithm of possibilistic clustering for the case of a priori unknown number of classes is proposed in the presented paper.

Keywords: clustering, allotment among fuzzy clusters, fuzzy rule

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