Abstract
Moving towards automated service selection, contract negotiation, and contract fulfillment remains a promising vision for E-commerce systems. Trust is one of the main reasons why this vision is not put into practice in current E-commerce systems. Various theoretical models and technical concepts are in place to facilitate crucial factors such as system interoperability or communication-level security. However, proven models, to measure social values such as trustworthiness, reputation or credibility of service consumers and service providers in loosely coupled, distributed E-commerce systems, are the missing factors which prevent the adoption of automated service interaction. This paper demonstrates the application of our Fuzzy trust model in an E-commerce platform. We apply an exemplary business scenario to demonstrate the usage of our Fuzzy trust model.
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Schmidt, S., Steele, R., Dillon, T., Chang, E. (2005). Applying a Fuzzy Trust Model to E-Commerce Systems. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_34
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DOI: https://doi.org/10.1007/11589990_34
Publisher Name: Springer, Berlin, Heidelberg
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