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    Risk Management of Civil Projects by Using Fuzzy Logic

    Amini A 2017.pdf (6.160Mb)
    Access Status
    Open access
    Authors
    Amini, Amin
    Date
    2017
    Supervisor
    Andrew Whyte
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Civil and Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/76118
    Collection
    • Curtin Theses
    Abstract

    This study identifies and classifies the risks that affect oil & gas projects and involves the vague and imprecise knowledge of experts in various fields of oil & gas industry to introduce a model based on fuzzy inference system for risk management. This model evaluates the probability and consequence of risk parameters and determines the magnitude of risk factors that affect the objectives of oil & gas construction projects including scope, cost, quality and time.

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