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    Applying a fuzzy trust model to e-commerce systems

    Access Status
    Fulltext not available
    Authors
    Chang, Elizabeth
    Schmidt, S.
    Steele, R.
    Dillon, Tharam S.
    Date
    2005
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chang, Elizabeth and Schmidt, Stefan and Steele, Robert and Dillon, Tharam. 2005. : Applying a fuzzy trust model to e-commerce systems, in Jarvis, R. and Zhang, S. (ed), 18th Australian Joint Conference on Artificial Intelligence (AI), Dec 05 2005, pp. 318-329. Sydney, Australia: Springer-Verlag.
    Source Title
    Lecture Notes in Computer Science: AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence
    Source Conference
    18th Australian Joint Conference on Artificial Intelligence (AI)
    DOI
    10.1007/11589990_34
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/23864
    Collection
    • Curtin Research Publications
    Abstract

    Moving towards automated service selection, contract negotiation, and contract fulfilment 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 Ecommerce platform. We apply an exemplary business scenario to demonstrate the usage of our Fuzzy trust model.

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