UDC 519.254

© L.A. Demidova, V.V. Kirakovsky, A.N. Korotaev, 2010

CLUSTERING OBJECTS WITH USING PCM-ALGORITHM ON THE BASIS OF THE INTERVAL TYPE 2 FUZZY SET AND GENETIC ALGORITHM

For problems of statistic processing and teaching without teacher cluster analysis is often used. Among clustering methods the most popular is c-means method. Using fuzzy-set theory together with c-means method, namely, fuzzy c-means algorithm, gives good results. In this article the problem of clustering objects with using possible c-means together with interval type 2 fuzzy set and genetic algorithm is considered. It is shown that this method provides good results. Therefore it is expedient to make use of it for clustering problems.

Keywords: clustering, fuzzy sets, genetic algorithm

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	Main page News Editorial staff For authors Subscription Archive Site map Russian version Search:	UDC 519.254 © L.A. Demidova, V.V. Kirakovsky, A.N. Korotaev, 2010 CLUSTERING OBJECTS WITH USING PCM-ALGORITHM ON THE BASIS OF THE INTERVAL TYPE 2 FUZZY SET AND GENETIC ALGORITHM For problems of statistic processing and teaching without teacher cluster analysis is often used. Among clustering methods the most popular is c-means method. Using fuzzy-set theory together with c-means method, namely, fuzzy c-means algorithm, gives good results. In this article the problem of clustering objects with using possible c-means together with interval type 2 fuzzy set and genetic algorithm is considered. It is shown that this method provides good results. Therefore it is expedient to make use of it for clustering problems. Keywords: clustering, fuzzy sets, genetic algorithm Download article (493.6 Kb) Сontents

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