基于模糊TOPSIS技术的安全与健康风险评估优化(以伊朗南部建筑工地为例)

Q4 Engineering
E. Sekhavati, R. Jalilzadeh Yengejeh
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引用次数: 3

摘要

引言:工业安全健康风险评估因其影响因素的存在而存在不确定性。因此,本研究采用多准则决策技术(TOPSIS)和模糊系统相结合的方法,对建筑工地安全健康风险评价进行了优化研究。在本研究中,为了回答这个问题,采用了一种新的方法来优化建筑车间的健康风险评估。材料与方法:以伊朗南部城市拉尔的建筑工地为研究对象。根据以往的研究和专家意见,确定了十项标准来评估建筑工地的安全和健康风险。此外,在建筑工地的12种活动中,还发现了15种安全和健康风险。在R版本1.1的模糊TOPSIS软件中,三角模糊数被用于语言变量。结果:根据结果,与开挖过程相关的相邻建筑物倒塌风险是施工现场最重要的安全和健康风险,系数为0.5。结论:该方法可以在优先考虑安全和健康风险方面以最小的不确定性提供期望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment Optimization of Safety and Health Risks Using Fuzzy TOPSIS Technique (Case Study: Construction Sites in the South of Iran)
Introduction: 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.
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来源期刊
Journal of Environmental Health and Sustainable Development
Journal of Environmental Health and Sustainable Development Engineering-Engineering (miscellaneous)
CiteScore
1.10
自引率
0.00%
发文量
24
审稿时长
9 weeks
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