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UDC 681.3

QUALITY SPLIT USING MODIFIED ALGORITHM OF FUZZY CLUSTERING OF RESEARCH DATA AND METHOD OF ITS CONSTRUCTION

A. N. Pylkin, PhD (technical sciences), full professor, Head of the Department, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
K. A. Maykov, PhD (technical sciences), full professor, Bauman MSTU, Moscow; This email address is being protected from spambots. You need JavaScript enabled to view it.
A. V. Kroshilin, PhD (technical sciences), full professor, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
A. M. Belitsky, PhD (technical sciences), special operative-technical centre, Moscow; This email address is being protected from spambots. You need JavaScript enabled to view it.

The approach for solving the problem of evaluating the quality of partitioning in data clustering processes of control object on the basis of fuzzy equivalence relations is proposed. The aim of this work is to develop criteria for evaluating the quality of segmentation obtained by fuzzy clustering for the optimization and effective use of information about control object, when using methods of data mining; the use of developed criteria for fuzzy clustering when selecting the best result of breaking. The resulting coefficients and the criterion of clustering quality to build the system of decision-making support are obtained. The method of fuzzy clustering using evaluation function of clustering quality for full formalization of clustering problem solution is developed.

Key words: fuzzy clustering, the evaluation function, system of decision making support.

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