A Quantitative Trust Model Based on Multiple Evaluation Criteria

This paper is concerned with a quantitative computational trust model which takes into account multiple evaluation criteria and uses the recommendation from others in order to get the trust value for entities. In the proposed trust model, the trust for an entity is defined as the expectation for the entity to yield satisfactory outcomes in the given situation. Once an interaction has been made with an entity, it is assumed that outcomes are observed with respect to evaluation criteria. When the trust information is needed, the satisfaction degree, which is the probability to generate satisfactory outcomes for each evaluation criterion, is computed based on the outcome probability distributions and the entity’s preference degrees on the outcomes. Then, the satisfaction degrees for evaluation criteria are aggregated into a trust value. At that time, the reputation information is also incorporated into the trust value. This paper presents in detail how the trust model works.

Authors and Affiliations

1. Division of Multimedia Information, Howon University, Korea

   Hak Joon Kim

2. School of Electric and Computer Engineering, Chungbuk National University, Korea

   Keon Myung Lee

Editors and Affiliations

1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

   Rajiv Khosla

2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

   Robert J. Howlett

3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

   Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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