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Reducing Low Back Pain in Construction Works; A Fuzzy Logic Approach
Oluwole H. ADEYEMI, Samuel B. ADEJUYIGBE , Salami O. ISMAILA, Adebayo. F. ADEKOYA
Pages - 1 - 14     |    Revised - 15-01-2013     |    Published - 28-02-2013
Volume - 3   Issue - 1    |    Publication Date - April 2013  Table of Contents
Fuzzy, Expert, Back, Pain, Construction
In this study, a fuzzy linguistic model was developed to reduce the risk of Low back Pain (LBP) in construction works. The primary objective was to develop a computer-based model for risk assessment capable of generating results which are comparable more efficient than those obtained manually by human experts’ calculations. The expert system used fuzzy set theory to make decisions about the level of risk associated with selected worker. Posture at work, frequency of lift and weight of load were the three constituent elements of input used while the output is risk of LBP. The result of validation shows that there was a strong positive relationship between the calculated human experts’ LBP risk and that of the model with correlation coefficient of 0.934. It can thus be concluded that though conventional mathematical modeling has been a recognized tool in ergonomic evaluation, a fuzzy model system also generate a very helpful results in, minimizing risk involved in construction tasks and, determining effective means of deploying personnel.
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Mr. Oluwole H. ADEYEMI
Federal University of Agriculture, Abeokuta - Nigeria
Professor Samuel B. ADEJUYIGBE
Federal University of Agriculture, Abeokuta - Nigeria
Dr. Salami O. ISMAILA
Federal University of Agriculture, Abeokuta - Nigeria
Dr. Adebayo. F. ADEKOYA
Federal University of Agriculture, Abeokuta - Nigeria