Existing service reputation management systems
mainly considered the functions or QoS of the service; do not simultaneously include the aspect of service trustiness for consumers. In the proposed approach, the degree of consumer trust is appropriately estimated with reputation score derived by extending the approximate reasoning of Interval-valued
Fuzzy Sets (IVFS) to the reputation computation incorporating consumers’ perception based on the prior experience of the service. The proposed model enables evaluator’s creditability detection by examining existing assessment records, and
therefore excludes the fraudulent evidence of dishonest evaluators from the selection process. Finally, an illustration
example of consumer trust-based web services selection is illustrated to demonstrate the proposed approach.
IEEE International Conference on e-Business Engineering (ICEBE 2011), 中國, 2011.10.19