TY - JOUR ID - 2101 TI - BUILDING REPUTATION FOR SERVICE-ORIENTED AMI: MODELING, ALGORITHMS, AND ANALYSIS JO - Iranian Journal of Science and Technology Transactions of Electrical Engineering JA - IJSTE LA - en SN - 2228-6179 Y1 - 2014 PY - 2014 VL - 38 IS - E1 SP - 99 EP - 109 KW - Service reputation KW - trust KW - evidence theory KW - AmI DO - 10.22099/ijste.2014.2101 N2 - Service reputation is a key factor for service selection and service composition inService-Oriented Ambient Intelligence systems. Hence, service reputation computing should fullyreflect the feature of multi-rating fusion and the utility value dynamic attenuation characters of therating. The paper combines D-S evidence theory with dynamic attenuation and puts forward aservice reputation computing algorithm based on multi-rating fusion, which is adapted to theAmbient 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 andadvertisement 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 anaggregation 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 modeltogether with the algorithms. UR - https://ijste.shirazu.ac.ir/article_2101.html L1 - https://ijste.shirazu.ac.ir/article_2101_84e0a210ed07698a9a68d1243f85afa7.pdf ER -