Affiliations: [a] Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, Sichuan, China | [b] Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang, Guizhou, China | [c] Department of Computer Science, Guizhou University, Guiyang, Guizhou, China
Correspondence:
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Corresponding author: Wei Meng, Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China. Tel.: +86 18954371127; E-mail: [email protected]
Abstract: In previous researches of cloud manufacturing services, trust evaluation models were not flexible enough and subjective preferences of agents were not reflected either. For this issue, a five-dimensional trust evaluation system is built, and a reputation-based trust evaluation algorithm (RBTE) is also proposed. The direct trust rank (DT), friend reputation (RF) and platform reputation (RP) of the agent could be integrated into the trust rank (TR) with the weight vector through this algorithm. Combined with similarities of trust evaluation process, a trust network building approach is put forward in this research. The trust rank update algorithm also achieved dynamic rewards or punishments over time. Experimental results has shown good executing efficiency, and reflected the subjective preference of the transaction agent to a certain extent.
