TAILIEUCHUNG - Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management

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. | Fuzzy inference system-Latin hypercube simulation An integrated hybrid model for OHS risks management Journal of Project Management 4 2019 127 140 Contents lists available at GrowingScience Journal of Project Management homepage Fuzzy inference system-Latin hypercube simulation An integrated hybrid model for OHS risks management Ehsan Haqiqata Yahia Zare Mehrjerdia and Ali Zare Bidakib a Department of Industrial Engineering -Yazd University. Iran b Department of construction Management - University Technology Malaysia CHRONICLE ABSTRACT Article history Risk management in construction industry in several cases is not only incomplete regarding the Received July 20 2018 unification of Occupational Health and Safety OHS hazards but it is also incomplete in not Received in revised format No- having a systematic and innovative method to assess the impacts of these risks on the objectives vember 1 2018 of a project. An integrated hybrid Fuzzy Inference System-Latin Hypercube Simulation for the Accepted November 21 2018 Available online evaluation of OHS risks in construction projects is presented in this paper. Prioritization of November 21 2018 safety risks systematically without human interference with fuzzy inference system gives the Keywords appropriate response to the identified risks. An advanced Monte Carlo simulation is also used Occupational Health and Safety for the evaluation of quantitative objectives of a project. This approach allows us to get away Healthcare System from discrimination and simulate the risks with high impacts but with low probabilities. In order Construction Projects to measure the relationship between the occurrences of each of the risks impacts on project Risk Evaluation objectives the sensitivity analysis based on Pearson correlation coefficient is used to determine Risk Management the usefulness of the proposed integrated hybrid method. Sensitivity analysis 2019 by the authors licensee Growing Science Canada. 1.

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