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论文类型：期刊论文

发表时间：2009-10-01

发表刊物：EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

收录刊物：SCIE、EI、Scopus

卷号：198

期号：1

页面范围：297-304

ISSN号：0377-2217

关键字：Fuzzy sets; AFS algebras; AFS structures; Fuzzy clustering; Linguistic value

摘要：In this paper, first the axiomatic fuzzy set (AFS) clustering method [X.D. Liu, W. Wang, T.Y. Chai, The fuzzy clustering analysis based on AFS theory, IEEE Transactions on Systems, Man and Cybernetics Part B 35 (5) (2005) 1013-1027] is investigated further by improving the algorithm to be more applicable, then it is used to analyze the evaluation results of 30 companies which have been studied and analyzed by G.-S. Liang et al. [G.S. Liang, T.Y. Chou, T.C. Han, Cluster analysis based on fuzzy equivalence relation, European journal of Operational Research 166 (2005) 160-171]. Compared with Liang's algorithm, the proposed method is more transparent, understandable and interpretable. This method can be applied to the management strategic analysis based on the datasets described by mixed features such as real numbers, Boolean logical values, linguistic descriptions. The illustrative examples show that the interpretations of the clustering results of the 30 companies are almost consistent with the expert's intuitions. (C) 2008 Elsevier B.V. All rights reserved.