A Support Vector Machines Method for Tourist Satisfaction Degree Evaluation
In order to solve the problem of tourist satisfaction degree (TSD is referred to as tourist satisfaction degree) evaluation, a new method based on support vector machine (SVM is referred to as the support vector machine) is used in this paper. First of all, according to the principles of designing the tourist satisfaction index system, a more comprehensive index system is built up; then the factor set which is regard as SVM training set can be quantified by indicators; thus the evaluation model of TSD is established through the classified-SVM with the use of one-on-one strategy; and finally for illustration, an example is utilized to show the feasibility of the SVM model in solving TSD problem with small sample data and high accuracy rate. The TSD model based on SVM can effectively solve the conflicts of multiple attributes in evaluation and provide a new research thought and method for evaluating satisfaction degree in other fields.
About Evaluation model Support vector machine Tourism Tourist satisfaction degree
Wanqing Li Shipeng Xu Wenqing Meng
School of Economics and Management,Hebei University of Engineering,Handan,China School of Civil Engineering,Hebei University of Engineering,Handan,China
国际会议
2009 6th International Conference on Service Systems and Service Management( 2009 第六届服务系统与服务管理国际会议)
厦门
英文
883-887
2009-06-08（万方平台首次上网日期，不代表论文的发表时间）