Published Paper Details:

This study proposed a fuzzy-based HAZOP for process risk analysis. Fuzzy theory was used to express uncertain states and this theory has been found to be a useful approach to overcome the inherent uncertainty in HAZOP analyses. Fuzzy logic contrasted sharply with classical logic and provided different risk values according to the degree of its membership functions. The appropriate process parameters and guidelines were selected to describe accident frequency and consequences. Fuzzy modelling calculated risks based on the relationship between accident variables. Modelling was based on mean expected value, trapezoidal fuzzy number method. The objective process for fuzzy-based and conventional HAZOPs was to identify and assess hazards in boiler plant. The most important index is the frequency of risk determination. The comparison results showed that the fuzzy-based HAZOP provides better elaborated risks than the conventional HAZOP. The fuzzy risk matrix represents the importance of risks, negligible risks and the need to reduce risks.