Triangular and Trapezoidal fuzzy numbers, Accident forecasting

The concepts of risk and accident are professional and complicate topics that can create serious problems for industrial managers. Nowadays fuzzy logic is a powerful tool that with entering to various expertise fields, has created various scientific views and in some cases, noticeable effect on scientific results in applicable research can be applied. This new approach has caused, those managers in risk and accident fields make decisions with stronger scientific support and higher reliability. In this paper, research methodology with fuzzy approach in forecasting of work related accident’s possibility about transportation equipments and production machinery has reviewed as a case study with mentioned approach. By using fuzzy rules in various accidents’ Scenarios, with regarding to the all variables of research problem, an uncertain space in this topic study can be minimized and better possibility of forecasting in comparing with classic binary situation or zero one state is achieved. This is a real, the uncertain and probabilistic condition in field of risk and accident is affect on possibility of forecasting and prevention of accident beside adverse outcomes, and using this approach and proposed methodology can be helpful in this regard.