The Community for Technology Leaders
Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 710-712
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.
fuzzy set; support vector machine; customer satisfaction degree

Y. Xiao and W. Feng, "Application of Fuzzy Support Vector Machine in Customer Satisfaction Degree Comprehensive Evaluation," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 710-712.
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