On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent 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 survey of trust and reputation systems for online service provision
Decision Support Systems
Electronic Commerce Research and Applications
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Multi-layer cognitive filtering by behavioral modeling
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A fuzzy logic based reputation model against unfair ratings
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Reputation systems have contributed much to resisting against the threats from malicious seller agents in electronic marketplaces. Buyer agents can benefit from modeling the reputation of seller agents to make a decision on which seller to have transaction with. However, the existence of unfair ratings decreases the accuracy of the seller agents' reputation evaluation, which will lead to inappropriate sellers to be selected and hence harm buyers' profits. In this paper, to address the problem of unfair ratings, we propose a witness trustworthiness model based on Dempster-Shafer theory to evaluate the trustworthiness of a witness's ratings regarding a particular seller. The proposed approach uses local and global ratings together to model a witness's trustworthiness which is specific for different sellers. The experimental results demonstrate that the proposed approach can effectively address the problem of unfair ratings and outperform the comparative approaches, especially when collusion attacks exist.