MODELING OF HUMAN ACCIDENT INTERVENTION AND ACCIDENT RATE PREDICTION USING FUZZY TECHNIQUES

摘要

Many safety and health books and papers are written from academic standpoints, providing in-depth studies of various aspects of accidents, their causation, cost, and effects on the work. Our paper attempts to use a different approach to the analysis of the accidents. We have designed a model for human accidents by classifying the selected cases based on accidents-rated factors like work type, managerial and physical factors, into a number of groups or clusters. The collected data are split into a training set for model construction and test for model verification. Moreover, we used this model to generate a set of rules to develop a fuzzy engine, which can then predict and forecast the rate of accidents. All this has been done for people worked and gained experience in Kuwait within the Kuwaiti construction market.