A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations

Muqi Wulan, Dobrila Petrovic

    Research output: Contribution to journal › Article

    20 Citations (Scopus)

    Abstract

    This paper addresses risk identification and assessment in network based enterprise collaborations, such as VOs or VEs, and proposes a fuzzy logic based system for risk analysis and evaluation. Risk factors are identified with respect to the four stages in a collaboration’s life cycle: pre-creation, creation, operation and termination. A fuzzy logic based algorithm for collaboration risk evaluation is developed to assess these perceived risk factors. Each risk is described by a probability of risk and a risk impact. Both measures are specified in imprecise linguistic terms and modelled by fuzzy sets. Later the algorithm is embedded into a prototype web service, the Collaboration Risk Evaluator (CRE), implemented to identify risks, provide fuzzy risk assessment and facilitate control of the risk propagation in an enterprise collaboration. We have validated the CRE using test cases. Also, it is integrated in a real life online system supporting SMEs in the automotive industry
    Original languageEnglish
    Pages (from-to)739-748
    JournalComputers in Industry
    Volume63
    Issue number8
    DOIs
    Publication statusPublished - Sep 2012

    Bibliographical note

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    Keywords

    • Risk factors
    • Risk identification
    • Risk evaluation
    • Fuzzy logic
    • Enterprise collaboration

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