A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
A clustering approach to filtering unfair testimonies for reputation systems
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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The problem of unfair testimonies remains to be a big concern in reputation systems. To address this problem, we propose a witness trustworthiness model based on Dempster-Shafer theory for reputation systems using multi-nominal testimonies. The proposed approach uses Dempster-Shafer theory to model a witness's trustworthiness from both personal and public aspects. Experimental evaluation demonstrates promising results of the proposed approach in modeling witnesses' trustworthiness and adapting to the buyer specified subjective difference tolerance level.