Open AccessAssessment Optimization of Safety and Health Risks Using Fuzzy TOPSIS Technique (Case Study: Construction Sites in the South of Iran)
Author(s) -
Eghbal Sekhavati,
Reza Jalilzadeh Yengejeh
Publication year - 2021
Publication title -
journal of environmental health and sustainable development
Language(s) - English
Resource type - Journals
eISSN - 2476-7433
pISSN - 2476-6267
DOI - 10.18502/jehsd.v6i4.8154
Subject(s) - topsis , construction site safety , risk analysis (engineering) , risk assessment , fuzzy logic , occupational safety and health , health risk assessment , computer science , operations research , engineering , transport engineering , civil engineering , business , medicine , artificial intelligence , computer security , structural engineering , pathology
Safety and health risk assessment in industries is associated with uncertainties due to the variables affecting it. Therefore, in this research, optimizing safety and health risk assessment was investigated in construction sites by combining a multi-criteria decision-making technique (TOPSIS) and a fuzzy system. In the present study, to answer this question, a new method was used to optimize health risk assessment in construction workshops.
Materials and Methods: The case study was construction sites in Lar, a city in the south of Iran. Based on previous studies and expert opinions, ten criteria were determined to assess safety and health risks in the construction sites. Also, 15 safety and health risks were identified resulting from 12 types of activities in the construction sites. Triangular fuzzy numbers were used for linguistic variables in Fuzzy TOPSIS with R version 1.1 software.
Results: Based on the results, the risk of the collapse of adjacent buildings related to the excavation process was the most important safety and health risk in the construction sites with a coefficient value of 0.5.
Conclusion: This method can provide desired results with the least uncertainty in prioritizing safety and health risks.