Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105997
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Yazdani, M | - |
dc.creator | Abdi, MR | - |
dc.creator | Kumar, N | - |
dc.creator | KeshavarzGhorabaee, M | - |
dc.creator | Chan, FTS | - |
dc.date.accessioned | 2024-04-24T02:01:49Z | - |
dc.date.available | 2024-04-24T02:01:49Z | - |
dc.identifier.issn | 0733-9364 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105997 | - |
dc.language.iso | en | en_US |
dc.publisher | American Society of Civil Engineers | en_US |
dc.rights | ©2019 American Society of Civil Engineers | en_US |
dc.rights | This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001640. | en_US |
dc.subject | Construction projects | en_US |
dc.subject | Failure mode and effect analysis | en_US |
dc.subject | Fuzzy analytical network process | en_US |
dc.subject | Multicriteria decisions | en_US |
dc.subject | Risk assessment | en_US |
dc.title | Improved decision model for evaluating risks in construction projects | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 145 | - |
dc.identifier.issue | 5 | - |
dc.identifier.doi | 10.1061/(ASCE)CO.1943-7862.0001640 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of construction engineering and management, May 2019, v. 145, no. 5, 04019024 | - |
dcterms.isPartOf | Journal of construction engineering and management | - |
dcterms.issued | 2019-05 | - |
dc.identifier.scopus | 2-s2.0-85062029535 | - |
dc.identifier.eissn | 1943-7862 | - |
dc.identifier.artn | 04019024 | - |
dc.description.validate | 202404 bcwh | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | ISE-0476 | en_US |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 14423428 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Chan_Improved_Decision_Model.pdf | Pre-Published version | 1.34 MB | Adobe PDF | View/Open |
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