Constructing The Performance Evaluation System Of Commercial Banks By Using Double Basis Method With Improved Information Entropy

In the global economy, regional monetary integration, financial market competition fierce, high-speed development of information technology background, the increasingly fierce competition in the global banking industry, commercial Bank is shifting to an integrated financial services, information technology and constantly development, marketing professional requirements for financial services increased. In the process of market interest rates, the market share of large domestic commercial banks decreased, joint-stock commercial banks and city commercial banks to give more room for development, full use of their flexible features, and gradually increase market share, financial products at the same time to be rich.The face of increasingly fierce market competition, whether it is a large state-owned commercial banks and urban commercial banks are faced with how to improve the operation and management efficiency. This thesis research through commercial banks operating performance evaluation methods, combined with current research, proposed entropy- Technique for Order Preference by Similarity to Ideal Solution method applied to commercial bank performance evaluation. Technique for Order Preference by Similarity to Ideal Solution method which will establish the targets of commercial banks multidimensional system to determine the optimal solution with the worst solution, was evaluated based on the optimal solution from the commercial banks and the distance between the worst solution for business performance in the multi-dimensional system Overview. That is the optimal solution from the more recent, but farther away from the worst solution, the higher the performance evaluation of the total score, the more forward position. Technique for Order Preference by Similarity to Ideal Solution method in the Index Weighting Method of subjective abandon the original assignment method using entropy weighting method, with objective, real-time dynamic. Entropy method to determine the weight that better preserve the objectivity of the data, at the same time according to changes in the object being evaluated and indicators fluctuate, exclude human interference factors.Combine to maximize value creation driven EVA and EVA index total return index 10 index as an indicator of financial performance evaluation system of commercial banks. Wherein the EVA calculation, combining characteristics of China’s commercial banks, make the appropriate accounting adjustments. After using entropy-Technique for Order Preference by Similarity to Ideal Solution method to build commercial bank performance evaluation management system, select the country in the 16 A-share listed commercial banks as the object being evaluated. Based on the assessment results of the performance of commercial banks to make an overall rating, 16 commercial banks and their management level analysis.