High Risk Management Model For The Power Enterprise Based on Rough Set Theory

Abstract

The traditional risk management model can’t process historical data efficiently, this paper proposed a high-risk customer management model based on rough set theory to solve this problem. In this paper we briefly analyze the characteristics and application of rough set, and then give a method to reduce the irrelevant indicators before generating rules. This method is based on the advantages of rough set in processing large scale data. The model combines risk management theory in engineering and rough set theory in a very good way to process the historical data. Finally this paper gives an experiment to illustrate how to establish and apply the proposed model.