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  • 标题:Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management
  • 本地全文:下载
  • 作者:Ehsan Haqiqat ; Yahia Zare Mehrjerdi ; Ali Zare Bidaki
  • 期刊名称:Journal of Project Management
  • 印刷版ISSN:2371-8366
  • 电子版ISSN:2371-8374
  • 出版年度:2018
  • 卷号:4
  • 期号:2
  • 页码:127-140
  • DOI:10.5267/j.jpm.2018.11.001
  • 出版社:Growing Science
  • 摘要:Risk management in construction industry in several cases is not only incomplete regarding the unification of Occupational Health and Safety (OHS) hazards, but it is also incomplete in not having a systematic and innovative method to assess the impacts of these risks on the objectives of a project. An integrated hybrid Fuzzy Inference System-Latin Hypercube Simulation for the evaluation of OHS risks in construction projects is presented in this paper. Prioritization of safety risks systematically without human interference with fuzzy inference system gives the appropriate response to the identified risks. An advanced Monte Carlo simulation is also used for the evaluation of quantitative objectives of a project. This approach allows us to get away from discrimination and simulate the risks with high impacts but with low probabilities. In order to measure the relationship between the occurrences of each of the risks impacts on project objectives, the sensitivity analysis based on Pearson correlation coefficient is used to determine the usefulness of the proposed integrated hybrid method.
  • 关键词:Occupational Health and Safety; Healthcare System; Construction Projects; Risk Evaluation; Risk management; sensitivity analysis; Integrated hybrid model
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