BUILDING REPUTATION FOR SERVICE-ORIENTED AMI: MODELING, ALGORITHMS, AND ANALYSIS

作者：Zhang, H.^*; Shou, Z.; Zhang, J.; He, Q.; Qian, J.

来源：Iranian Journal of Science and Technology-Transactions of Electrical Engineering, 2014, 38(E1): 99-109.

• Service reputation
• trust
• evidence theory
• AmI

Service reputation is a key factor for service selection and service composition in Service-Oriented Ambient Intelligence systems. Hence, service reputation computing should fully reflect the feature of multi-rating fusion and the utility value dynamic attenuation characters of the rating. The paper combines D-S evidence theory with dynamic attenuation and puts forward a service reputation computing algorithm based on multi-rating fusion, which is adapted to the Ambient Intelligence systems. First, a layered computing model of the service reputation is given. Then, a mechanism of dynamic attenuation based on time windows, an objective rating and advertisement honesty rating of service, and a user credibility computing algorithm are presented. Afterward, the rating information is combined with the D-S evidence theory to raise an aggregation algorithm of the service general reputation for the Ambient Intelligence environments. Finally, a prototype test is carried out to verify the effectiveness and availability of the model together with the algorithms.

• 出版日期2014-6
• 单位桂林电子科技大学