Title : 
Method to Dynamic Classification of Trust for Web Service Based on Intuitionistic Fuzzy Clustering
         
        
            Author : 
Chang Yan ; Zhang Shibin
         
        
            Author_Institution : 
Dept. of Network Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
         
        
        
        
        
        
            Abstract : 
In view of the characteristics of Web environment and Web service, capability, security and reputation are imported as trust attributes for Web service to generate trust degrees. Membership degree, non-membership degree and intuitionistic index are used to describe trust attributes. Calculation formulas of trust contribution degree of capability, security and reputation are proposed. On the basis of intuitionistic fuzzy clustering, a dynamic classification method of trust is put forward. Simulation results show that trust attributes described by intuitionistic fuzzy numbers are more close to real environment, and dynamic classification of trust based on intuitionistic fuzzy clustering generate effective and reasonable classification results.
         
        
            Keywords : 
Web services; fuzzy set theory; pattern classification; pattern clustering; Web environment; Web service; dynamic classification method; intuitionistic fuzzy clustering; intuitionistic fuzzy number; intuitionistic index; non-membership degree; trust attribute; trust degree; Classification algorithms; Correlation; Eigenvalues and eigenfunctions; Indexes; Quality of service; Security; Web services;
         
        
        
        
            Conference_Titel : 
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-5391-7
         
        
            Electronic_ISBN : 
978-1-4244-5392-4
         
        
        
            DOI : 
10.1109/CISE.2010.5676900