Application of Fuzzy Support Vector Machine in Customer Satisfaction Degree Comprehensive Evaluation

被引：1
作者：
Feng, Weibin [1 ]
Xiao, Yanli [1 ]
机构：
[1] Hebei Univ Engn, Financial Dept, Handan, Peoples R China
来源：
PROCEEDINGS OF THE 2009 PACIFIC-ASIA CONFERENCE ON CIRCUITS, COMMUNICATIONS AND SYSTEM | 2009年
关键词：
fuzzy set; support vector machine; customer satisfaction degree;
D O I：
10.1109/PACCS.2009.159
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The customer satisfaction degree represents enterprise value, also a fundamental of enterprise in their development. As a evaluation index which used to measure competition power and quality situation of the product, more and more enterprise pay great attention to the customer satisfaction degree. But the indexes of customer satisfaction is hard to be measured or defined by usual method. In this paper, we introduce fuzzy set to the evaluation model to establish a new Fuzzy Support Vector Machine(FSVM) to enhance the classify accuracy, compared with BP neural network and CSVM get a better effort.
引用
收藏
页码：710 / 712
页数：3
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