A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE AND PERSONAL EXPERIENCE

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ALIPOURI Y.; ARDESHIR A.; SEBT M.H.; FAZEL ZARANDI M.H.

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Journal Paper

Paper Information

Journal: Sharif Journal of Civil Engineering Year:2016 | Volume:31-2 | Issue:4.1 Page(s): 31-39

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Title

A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE AND PERSONAL EXPERIENCE

Author(s)

ALIPOURI Y. | ARDESHIR A. | SEBT M.H. | FAZEL ZARANDI M.H. | Issue Writer Certificate

Keywords

FUZZY EXPERT SYSTEMQ2

GENETIC ALGORITHMSQ2

SAFETY MANAGEMENT PERFORMANCE IN SITESQ2

SAFETY CLIMATEQ2

PERSONAL EXPERIENCEQ2

Abstract

Construction is a dangerous and risky industry with a high accident rate. Safety, therefore, is deemed to be an important issue, and various agencies endeavor to control accidents through different approaches. Contractors procure worker compensation insurance to transfer these risks to insurance companies, but, as the safety management performance decreases, the risk of insuring this site for the insurance companies increases. Therefore, giving a score to the safety management performance in a construction site will help insurance companies to quote optimal premiums. If a contractor's real-time safety management system is robust, the contractor will get a cost-effective insurance cover, which will enable the contractor to compete better in tenders. Those contractors who do not have robust safety management systems in place will be penalized by higher premiums. Meanwhile, this approach will automatically set risky contractors aside and motivate contractors to invest in safety measures in their organizations. In this research, by considering the SAFETY CLIMATE, PERSONAL EXPERIENCE factors, studying the literature and consulting with experts, the main factors effecting safety in the construction sites of Iran were recognized. Since all of these factors are linguistics, a FUZZY EXPERT SYSTEM was proposed for scoring their safety management performance. The parameters of the designed expert system, including Yager's t-norm, Yager's s-norm, Yager's complement, Yager's inference engine and Yager's defuzzi cation parameters, were optimized by GENETIC ALGORITHMS. The performance of the proposed FUZZY EXPERT SYSTEM for scoring the safety management performance in the construction sites of Iran was tested using the mean squared error (MSE) method.This method was utilized to quantify the difference between values implied by the designed FUZZY EXPERT SYSTEM and the true values of the quantity being estimated.Testing results validate the effectiveness of the designed FUZZY EXPERT SYSTEM for scoring the safety management performance in construction sites of Iran.

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APA: Copy

ALIPOURI, Y., ARDESHIR, A., SEBT, M.H., & FAZEL ZARANDI, M.H.. (2016). A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE AND PERSONAL EXPERIENCE. SHARIF: CIVIL ENINEERING, 31-2(4.1), 31-39. SID. https://sid.ir/paper/127860/en

Vancouver: Copy

ALIPOURI Y., ARDESHIR A., SEBT M.H., FAZEL ZARANDI M.H.. A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE AND PERSONAL EXPERIENCE. SHARIF: CIVIL ENINEERING[Internet]. 2016;31-2(4.1):31-39. Available from: https://sid.ir/paper/127860/en

IEEE: Copy

Y. ALIPOURI, A. ARDESHIR, M.H. SEBT, and M.H. FAZEL ZARANDI, “A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE AND PERSONAL EXPERIENCE,” SHARIF: CIVIL ENINEERING, vol. 31-2, no. 4.1, pp. 31–39, 2016, [Online]. Available: https://sid.ir/paper/127860/en

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