Risk Management of Civil Projects by Using Fuzzy Logic

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 c...

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Bibliographic Details
Main Author: Amini, Amin
Format: Thesis
Published: Curtin University 2017
Online Access:http://hdl.handle.net/20.500.11937/76118
Description
Summary: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.