| Title |
Improved Decision Model for Evaluating Risks in Construction Projects |
| Authors |
YAZDANI, MORTEZA, Abdi M.R. , Kumar N. , Keshavarz-Ghorabaee M. , Chan F.T.S. |
| External publication |
No |
| Means |
J Constr Eng Manage |
| Scope |
Article |
| Nature |
Científica |
| JCR Quartile |
2 |
| SJR Quartile |
1 |
| JCR Impact |
2.34700 |
| SJR Impact |
1.03900 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062029535&doi=10.1061%2f%28ASCE%29CO.1943-7862.0001640&partnerID=40&md5=75ba3a93698c007313918bad7e015c0e |
| Publication date |
01/01/2019 |
| ISI |
000459195200001 |
| Scopus Id |
2-s2.0-85062029535 |
| DOI |
10.1061/(ASCE)CO.1943-7862.0001640 |
| Abstract |
The paper develops an innovative risk evaluation methodology to address the challenges of multicriteria decision-making problem of project evaluation and selection. The methodology considers the fuzzy analytic network process (FANP) to incorporate the interdependencies of different risk factors, and failure mode and effect analysis (FMEA) to conduct the rating analysis of projects to develop the decision matrix. Finally, evaluation based on the distance from the average solution compares alternative projects and reports the optimal solution. The proposed approach allows project managers to engage in the evaluation process and to use fuzzy linguistic values in the assessment process. A case study from the construction sector is selected to verify the efficacy of the proposed approach over other popular approaches in the literature. © 2019 American Society of Civil Engineers. |
| Keywords |
Construction industry; Decision making; Fuzzy logic; Project management; Construction projects; Different risk factors; Failure mode and effect analysis; Fuzzy analytic network process; Fuzzy analytic |
| Universidad Loyola members |
|
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