Volume 24, Issue 1 (IJIEPR 2013)                   IJIEPR 2013, 24(1): 71-80 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Nasirzadeh F, Maleki H R, Khanzadi M, Mianabadi H. A fuzzy group decision making approach to construction project risk management. IJIEPR 2013; 24 (1) :71-80
URL: http://ijiepr.iust.ac.ir/article-1-308-en.html
A fuzzy group decision making approach to construction project risk management
Farnad Nasirzadeh 1, Hamid reza Maleki2 , Mostafa Khanzadi2 , Hojjat Mianabadi3
1- Assistant Professor , f.nasirzadeh@gmail.com
2- Assistant Professor
3- M.Sc
Abstract:   (7959 Views)
Implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. This research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. To take into account the uncertainties inherent in evaluation process, fuzzy logic is integrated into the revaluation process. To evaluate alternative response scenarios, first the collective group weight of each criterion is calculated considering opinions of a group consisted of five experts. As each expert has its own ideas, attitudes, knowledge and personalities, different experts will give their preferences in different ways. Fuzzy preference relations are used to unify the opinions of different experts. After computation of collective weights, the best alternative response scenario is selected by the use of proposed fuzzy group decision making methodology which aggregates opinions of different experts. To evaluate the performance of the proposed methodology, it is implemented in a real project and the best alternative responses scenario is selected for one of the identified risks.
Keywords: Construction industry, group decision making, fuzzy sets, multi-criteria decision making, risk management.
Full-Text [PDF 1232 kb]   (4512 Downloads)    
Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2011/09/19 | Accepted: 2013/03/11 | Published: 2013/03/11
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.