Title
Applications of axiomatic fuzzy set clustering method on management strategic analysis
Abstract
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.
Year
DOI
Venue
2009
10.1016/j.ejor.2008.08.010
European Journal of Operational Research
Keywords
Field
DocType
Fuzzy sets,AFS algebras,AFS structures,Fuzzy clustering,Linguistic value
Fuzzy clustering,Equivalence relation,Axiom,Fuzzy logic,Fuzzy set,Artificial intelligence,Linguistic value,Cluster analysis,Cybernetics,Mathematics
Journal
Volume
Issue
ISSN
198
1
0377-2217
Citations 
PageRank 
References 
9
0.47
10
Authors
3
Name
Order
Citations
PageRank
Xuelian Xu1100.84
Xiaodong Liu249228.50
Yan Chen316323.47