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

被引：0
作者：
Chen, Lin [1 ]
Hu, Xian [1 ]
机构：
[1] Beijing Language & Culture Univ, Coll Informat Sci, Beijing, Peoples R China
来源：
SMART TECHNOLOGIES FOR COMMUNICATION | 2012年 / 4卷
关键词：
attribute reduction; factor analysis; neighborhood granulation and rough approximation; evaluation of service quality;
D O I：
10.4028/www.scientific.net/AEF.4.201
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：201 / 207
页数：7
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