Fuzzy set and rough set based evaluation algorithm of web customers

Yun Peng

Computer and Information Engineering College, Jiangxi Normal University, Nanchang 330022, China

A fuzzy algorithm of web customers evaluation based on rough set is presented. Key attributes can be gotten through rough set. The evaluation from the data objects based on key attributes can reduce the data size and algorithm complexity. After Clustering analysis of customers, then the evaluation analysis will process to the clustering data. There are a lot of uncertain data in customer clusters, so the traditional method of classification and evaluation to the incomplete data is very difficult. Superposition evaluation algorithm based on fuzzy set can improve the reliability and accuracy of web customer evaluation. Evaluation of the web customer also can improve efficiency, service quality and profitability of web businesses.