A Fuzzy-based Risk Model for Construction Project Management

Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of ri...

Full description

Bibliographic Details
Main Authors: Chaher, Zid, Benseghir, Hocine, Abdullah, Ibrahim, Kabir, M. Nomani
Format: Conference or Workshop Item
Language:English
Published: IEEE Xplore 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/28223/
http://umpir.ump.edu.my/id/eprint/28223/1/A%20Fuzzy-based%20Risk%20Model%20for%20Construction%20Project%20Management1.pdf
_version_ 1848822998324215808
author Chaher, Zid
Benseghir, Hocine
Abdullah, Ibrahim
Kabir, M. Nomani
author_facet Chaher, Zid
Benseghir, Hocine
Abdullah, Ibrahim
Kabir, M. Nomani
author_sort Chaher, Zid
building UMP Institutional Repository
collection Online Access
description Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of risk analysis using fuzzy logic to assess the risk involved in construction projects. The uncertainties related to cost, time and quality in the project is handled by the fuzzy logic that is one of the methods dealing with uncertainties in risk analysis. The model was validated using a real project. The test results demonstrated the plausibility of the model for the risk analysis in a real scenario. Using this model, one can prioritize and rank all risk factors in a construction project. Thus, the project managers and leaders can appropriately take precautions to avoid the risk. The proposed model of fuzzy-based risk analysis simplifies the risk management process, which helps the decision makers and the experts to monitor and to control the project, and ultimately, to meet the satisfaction of stakeholders.
first_indexed 2025-11-15T02:50:09Z
format Conference or Workshop Item
id ump-28223
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:50:09Z
publishDate 2018
publisher IEEE Xplore
recordtype eprints
repository_type Digital Repository
spelling ump-282232020-04-15T14:10:30Z http://umpir.ump.edu.my/id/eprint/28223/ A Fuzzy-based Risk Model for Construction Project Management Chaher, Zid Benseghir, Hocine Abdullah, Ibrahim Kabir, M. Nomani Q Science (General) Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of risk analysis using fuzzy logic to assess the risk involved in construction projects. The uncertainties related to cost, time and quality in the project is handled by the fuzzy logic that is one of the methods dealing with uncertainties in risk analysis. The model was validated using a real project. The test results demonstrated the plausibility of the model for the risk analysis in a real scenario. Using this model, one can prioritize and rank all risk factors in a construction project. Thus, the project managers and leaders can appropriately take precautions to avoid the risk. The proposed model of fuzzy-based risk analysis simplifies the risk management process, which helps the decision makers and the experts to monitor and to control the project, and ultimately, to meet the satisfaction of stakeholders. IEEE Xplore 2018-12 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28223/1/A%20Fuzzy-based%20Risk%20Model%20for%20Construction%20Project%20Management1.pdf Chaher, Zid and Benseghir, Hocine and Abdullah, Ibrahim and Kabir, M. Nomani (2018) A Fuzzy-based Risk Model for Construction Project Management. In: IEEE Conference on Systems, Process and Control (ICSPC 2018) , 14-15 December 2018 , Melaka, Malaysia. pp. 129-134.. ISBN 978-1-5386-6327-1 (Published) https://doi.org/10.1109/SPC.2018.8704159
spellingShingle Q Science (General)
Chaher, Zid
Benseghir, Hocine
Abdullah, Ibrahim
Kabir, M. Nomani
A Fuzzy-based Risk Model for Construction Project Management
title A Fuzzy-based Risk Model for Construction Project Management
title_full A Fuzzy-based Risk Model for Construction Project Management
title_fullStr A Fuzzy-based Risk Model for Construction Project Management
title_full_unstemmed A Fuzzy-based Risk Model for Construction Project Management
title_short A Fuzzy-based Risk Model for Construction Project Management
title_sort fuzzy-based risk model for construction project management
topic Q Science (General)
url http://umpir.ump.edu.my/id/eprint/28223/
http://umpir.ump.edu.my/id/eprint/28223/
http://umpir.ump.edu.my/id/eprint/28223/1/A%20Fuzzy-based%20Risk%20Model%20for%20Construction%20Project%20Management1.pdf