Credit Evaluation Of Construction Industry Enterprises Based On Support Vector Machine

Construction industry is a pillar industry in national economy of China, but the development of construction market is restricted seriously owing to credit lacking, so establishing a comprehensive credit system becomes an urgent matter As an important fundamental work of establishing credit system, credit evaluation of construction market players not only provides a basis for government to manage construction market, but also is benefit for market players to enhance their ability to compete and is benefit for providing reference for market trading and keeping away credit crisis. Therefore credit evaluating of construction market players has important theoretical and practical significance.Establishing index system and choosing evaluating method, which are two kernel parts of credit evaluation of construction industry enterprises, are studied in this thesis.First, according to the criteria of independence, representation, maneuverability, comparableness and pertinence, the primary factors related to credit of construction industry enterprises were analyzed comprehensively and preliminary credit evaluation index system of construction industry enterprises was formed. Then based on the relativity analysis of credit evaluation index by SPSS, the credit evaluation index was adjusted and the final credit evaluation index system of construction industry enterprises was provided.Second, based on the analysis the features and precision of all kinds of credit evaluation methods, support vector machine, which is based on the Structural Risk Minimization principle, was selected to evaluate credit of construction industry enterprises. Radial Basis kernel Function was selected as Support Vector kernel function by Grid-search under the 5-fold cross-validation procedure.At last, a credit evaluation model of construction industry enterprises was established, and the precision of the model was validated and analyzed.