A DECISION-MAKING METHOD OF THE WEB SERVICE REPUTATION BASED ON SEMANTIC
A key problem of the Web service is bow to evaluate the reputation of the Web service. When the multiple attributive decision-making problem bases on the incomplete attribute weight and determinate attribute value, a new grey relation analysis method is proposed to solve the problem of evaluating the reputation about semantic Web service. According to the fundamental principle of the grey relation analysis method, this method gives the calculating procedure to solve the problem of evaluating the reputation when the attribute weight of semantic Web service is incomplete. The core of the method is building and solving a single-purpose linear programming model and an optimum model of optimal membership degree. An instance is described in the paper to illustrate that the grey relation analysis method is a good method to resolve the problem of evaluating reputation when a semantic Web service has incomplete attribute weight, the simulation results of experiment shows that, compared with the traditional evaluating method which use blurring operators, the new method increases precision ratio and recall ratio of web services.
Web service Reputation Grey relation analyse Optimal membership degree Blurring operator
ZI-LIN SONG NING ZHOU SHI-MING ZHEN YUAN-YUAN JIANG
Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
3519-3524
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）