关键词: 竞争力, 指标体系, 因素神经网络FNN, 模糊ELECTRE-I, 实证分析, 国有银行

Abstract: With the all-round opening up of the financial sector, state-owned commercial banks become the core of the country's economic lifeline, and the competitiveness of the strength of which is dependent on the country's economic prosperity and recession.The paper, based on fuzzy FNN-ELECTRE method, establishs a state-owned commercial banks competitive assessment model.Taking the fusion method of combing the factor neural network theory(FNN)with ELECTRE and focusing on existing commercial banks competitiveness evaluation index, it extracts from the evaluation index system of state-owned commercial banks factors firstclass index as both reality competitiveness and potential competitiveness factors, and puts the size, quality, business structure, efficiency, and growth into class index. At the same time, the author, from an empirical point of view, analyses and confirms the competitiveness of Bank A, Bank B, Bank C, Bank D, Bank E, the five major state-owned commmercial banks, and examines their property value on harmonious and non-harmonious test. It is concluded that the competitiveness of the Bank B is the strongest, and the Bank E competitiveness is the weakest. The tive major state-owned banks all leave room for improvement.

Key words: competitiveness, index system, FNN, fuzzy ELECTRE-I, empirical analysis, state-owned banks