Abstract :
Modeling technique of combination evaluation can reduce the degree of information imperfect in complex system. Fuzzy combination method that takes fuzzy theory and combination idea together can make the evaluation of complex system closer to reality. This paper adopt five methods, synthetic index approach, principal component analysis, factor analysis, DEA and information entropy, wholly evaluate and order the efficiency of Chinese commercial banks based on actual Chinese commercial bank data, firstly. Secondly, the author uses nonparametric Spearman order relational coefficient method to test The result is that except for DEA other four evaluation methods are of consistency. Finally, the author establishes fuzzy combination evaluation model, and uses it to wholly evaluate and order the management efficiency of 11 commercial banks, whose result is more scientific and rational.
Keywords :
banking; data envelopment analysis; fuzzy set theory; large-scale systems; principal component analysis; Chinese commercial banks; Spearman order relational coefficient method; combination evaluation modeling technique; combination idea; complex system; data envelopment analysis; factor analysis; fuzzy combination; fuzzy theory; information entropy; principal component analysis; synthetic index approach; Asset management; Business; Data envelopment analysis; Educational institutions; Fuzzy systems; Information analysis; Information entropy; Principal component analysis; Safety; Testing; Data Envelopment Analysis; Efficiency of Commercial banks; Fuzzy combinatorial evaluation; Information Entropy; Spearman´s rank correlation coefficient;
