Using Rough Set in Assessing Website´s Service Quality

At present, people are increasingly dependent on the service of websites to do work and enjoy life. They pay even more attention to the quality of service than that of systems and information of the websites. And there are many academic researchers who have developed instruments to evaluate the service quality of Websites (WebSQ) which include different items from 6 to 156. However, when providing the proposal to the managers to improve the WebSQ effectively and efficiently, people usually analyze the important items instead of all the aspects. And they usually use the method of regression analysis. In his paper we initially introduced attribution reduction of Rough Set (RS) which needs no prior knowledge. The case study shows that RS has another advantage of higher effectiveness over regression analysis. Also, the paper gives the future research directions.