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Title

A FCM Clustering Algorithm Based on Multiple Attribute Information with Linguistic Assessment

Author

YU Chun-hai, FAN Zhi-ping, SUN Xin-bo

Vol. 6  No. 1  pp. 13~16

Abstract

With respect to multiple attribute indexes clustering analysis problems with linguistic assessment information, a new clustering analysis algorithm is proposed. In the algorithm, the two-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. Based on the traditional idea of FCM clustering algorithm, the optimal fuzzy partition and the optimal class about the clustering object are gotten by the presented iterate steps. The algorithm has the characteristic that conception is clarity and calculation is simple. Finally, a numerical example is given.

Keywords

FCM clustering algorithm, Fuzzy clustering analysis, Linguistic assessment information, Two-tuple

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