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Applications of axiomatic fuzzy set clustering method on management strategic analysis
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文献类型:期刊论文
标题:Applications of axiomatic fuzzy set clustering method on management strategic analysis
作者:Xu, Xuelian[1];Liu, Xiaodong[2];Chen, Yan[3]
机构:
[1]Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China.;
[2]Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China.;Dalian Univ Technol, Res Ctr Informat & Control, Dalian 116024, Peoples R China.;
[3]Dalian Maritime Univ, Econ & Management Coll, Dalian 116026, Peoples R China.;
通讯作者:Xu, XL (reprint author), Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China.
年:2009
期刊名称:EUROPEAN JOURNAL OF OPERATIONAL RESEARCH影响因子和分区
来源信息:年:2009  卷:198  期:1  页码范围:297-304  
卷:198
期:1
页码范围:297-304
增刊:正刊
学科:工程学
收录情况:SCIE(WOS:000265341200033)  EI(20091311982599)  Scopus(2-s2.0-62549091927)  
语言:外文
ISSN:0377-2217
链接地址:https://www.scopus.com/inward/record.uri?eid=2-s2.0-62549091927&doi=10.1016%2fj.ejor.2008.08.010&partnerID=40&md5=7fa4078ffddbe53cde05e05e8df31d53
发表时间:2009-10-01
全文链接:DOI百度学术
被引频次:13
人气指数:240
浏览次数:240
基金:Natural Science Foundation of China [60575039, 60534010]; Natural Science Foundation of Liaoning [20062169]
关键词: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.
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