Abstract
this paper proposes a new risk assessment methodology using the fuzzy logic model based on the risk matrix information. The structure of the Fuzzy Inference System (FIS) formed in fuzzifier, knowledge base and defuzzifier. The input and output of the fuzzy system are simulated in crisp value. The proposed fuzzy model; and operator experiences were the devices for making the rules and inherent connection between variables in the fuzzy model. Fuzzy logic is one of the intelligence systems and it has wide range applications in fault analysis, event classification, accident analysis, safety and risk assessment. The structure of risk matrix reflects the shape of the membership functions and the If-Then rules of the fuzzy model design. The risk matrix is simulated in fuzzy approach to making it easier as a model based on If-Then rules. Simulation results investigated and illustrated that fuzzy logic system gives many advantages for risk assessment such as the dynamic modeling in If-Then rules.
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