Research On The Performance Evaluation Model Of M & A Of Listed Companies Based On Rough Sets And Dynamic Fuzzy Dependence Relation

People have much wrong and bias cognition on company merger and Acquisition (M & A) below the setting of the stock Market Mechanism in our country being unsound. It's necessary to research M & A, especially to investigate its performance, whatever to explore theory or to guide practice.The research of this paper focus on building M & A performance evaluation model based on rough set and dynamic fuzzy set theory. The research work mainly includes below field:(1) Briefly summarized basic theory and method on Rough set and Dynamic fuzzy set.(2) Briefly summarized the connotation, way, performance evaluation index and performance evaluation model of M & A.(3) Come up with M & A performance evaluation method based on the model of rough set and dynamic fuzzy dependence relation.(4) By utilizing evaluation model put forward, exploit demonstrate system and do demonstration test. The test result demonstrates that the method is effective.This paper comes up with the performance evaluation method of M & A of Listed Companies Based on Rough Sets and Dynamic Fuzzy Dependence Relation, provides an effective detailed index system and impersonal evaluation methodology, embodies the impersonality and accuracy of evaluation result.