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

Muqi Wulan, Dobrila Petrovic

    Research output: Contribution to journalArticle

    19 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

    Fingerprint

    Risk analysis
    Fuzzy logic
    Industry
    Fuzzy sets
    Automotive industry
    Linguistics
    Risk assessment
    Web services
    Life cycle

    Bibliographical note

    This paper is not available on the repository

    Keywords

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

    Cite this

    A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations. / Wulan, Muqi; Petrovic, Dobrila.

    In: Computers in Industry, Vol. 63, No. 8, 09.2012, p. 739-748.

    Research output: Contribution to journalArticle

    @article{e8d5a4d4aa54474bba8b53dcfff28d5c,
    title = "A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations",
    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",
    keywords = "Risk factors, Risk identification, Risk evaluation, Fuzzy logic, Enterprise collaboration",
    author = "Muqi Wulan and Dobrila Petrovic",
    note = "This paper is not available on the repository",
    year = "2012",
    month = "9",
    doi = "10.1016/j.compind.2012.08.012",
    language = "English",
    volume = "63",
    pages = "739--748",
    journal = "Computers in Industry",
    issn = "0166-3615",
    publisher = "Elsevier",
    number = "8",

    }

    TY - JOUR

    T1 - A fuzzy logic based system for risk analysis and evaluation within enterprise collaborations

    AU - Wulan, Muqi

    AU - Petrovic, Dobrila

    N1 - This paper is not available on the repository

    PY - 2012/9

    Y1 - 2012/9

    N2 - 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

    AB - 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

    KW - Risk factors

    KW - Risk identification

    KW - Risk evaluation

    KW - Fuzzy logic

    KW - Enterprise collaboration

    U2 - 10.1016/j.compind.2012.08.012

    DO - 10.1016/j.compind.2012.08.012

    M3 - Article

    VL - 63

    SP - 739

    EP - 748

    JO - Computers in Industry

    JF - Computers in Industry

    SN - 0166-3615

    IS - 8

    ER -