Risk Management of Civil Projects by Using Fuzzy Logic
Access Status
Open access
Authors
Amini, Amin
Date
2017Supervisor
Andrew Whyte
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Civil and Mechanical Engineering
Collection
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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