Assessing construction labours’ safety level: a fuzzy MCDM approach
Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering t...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2020-02-01
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| Series: | Journal of Civil Engineering and Management |
| Subjects: | |
| Online Access: | https://jeelm.vgtu.lt/index.php/JCEM/article/view/11926 |
| _version_ | 1818890379203706880 |
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| author | Saeed Reza Mohandes Haleh Sadeghi Amir Mahdiyar Serdar Durdyev Audrius Banaitis Khairulzan Yahya Syuhaida Ismail |
| author_facet | Saeed Reza Mohandes Haleh Sadeghi Amir Mahdiyar Serdar Durdyev Audrius Banaitis Khairulzan Yahya Syuhaida Ismail |
| author_sort | Saeed Reza Mohandes |
| collection | DOAJ |
| description | Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements. |
| first_indexed | 2024-12-19T17:23:58Z |
| format | Article |
| id | doaj.art-e69980e361014e0bb3aace4607f07803 |
| institution | Directory Open Access Journal |
| issn | 1392-3730 1822-3605 |
| language | English |
| last_indexed | 2024-12-19T17:23:58Z |
| publishDate | 2020-02-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Civil Engineering and Management |
| spelling | doaj.art-e69980e361014e0bb3aace4607f078032022-12-21T20:12:36ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052020-02-0126210.3846/jcem.2020.11926Assessing construction labours’ safety level: a fuzzy MCDM approachSaeed Reza Mohandes0Haleh Sadeghi1Amir Mahdiyar2Serdar Durdyev3Audrius Banaitis4Khairulzan Yahya5Syuhaida Ismail6Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong KongDepartment of Architectural Engineering, Islamic Azad University, Science and Research Branch, Shiraz, IranSchool of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor, MalaysiaRazak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, MalaysiaDepartment of Construction Management and Real Estate, Vilnius Gediminas Technical University, 10223 Vilnius, LithuaniaSchool of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor, MalaysiaRazak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, MalaysiaRisk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.https://jeelm.vgtu.lt/index.php/JCEM/article/view/11926safety risk assessmentconstruction safetyinterval-valued fuzzy numbermulti-criteria decision-making methodfuzzy best-worst methodfuzzy TOPSIS |
| spellingShingle | Saeed Reza Mohandes Haleh Sadeghi Amir Mahdiyar Serdar Durdyev Audrius Banaitis Khairulzan Yahya Syuhaida Ismail Assessing construction labours’ safety level: a fuzzy MCDM approach Journal of Civil Engineering and Management safety risk assessment construction safety interval-valued fuzzy number multi-criteria decision-making method fuzzy best-worst method fuzzy TOPSIS |
| title | Assessing construction labours’ safety level: a fuzzy MCDM approach |
| title_full | Assessing construction labours’ safety level: a fuzzy MCDM approach |
| title_fullStr | Assessing construction labours’ safety level: a fuzzy MCDM approach |
| title_full_unstemmed | Assessing construction labours’ safety level: a fuzzy MCDM approach |
| title_short | Assessing construction labours’ safety level: a fuzzy MCDM approach |
| title_sort | assessing construction labours safety level a fuzzy mcdm approach |
| topic | safety risk assessment construction safety interval-valued fuzzy number multi-criteria decision-making method fuzzy best-worst method fuzzy TOPSIS |
| url | https://jeelm.vgtu.lt/index.php/JCEM/article/view/11926 |
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