Attribute Reduction of Service Quality Based on Factor Analysis and Neighborhood Model

How to choose the attributes of service quality have become the foundation and the key for researches of service quality. In connection with the current situation and characteristics of the existing e-commerce service quality evaluation, we analyze the advantages and shortcomings of the widely used way, which is combining item-to-total correlation and factor analysis to reduce our service attribute scale. Then a method of neighborhood granulation and rough approximation for numerical attribute reduction is proposed. With the comparison of the two methods through specific examples of empirical research data, the validity and superiority of the application of neighborhood model for numerical attribute reduction are verified.