Risk Analysis using Fuzzy System based Risk Matrix Methodology

Abstract

This paper proposes a new risk assessment methodology using fuzzy logic model based on the risk matrix information and applications to the nuclear facilities. The structure of the fuzzy Inference System (FIS) is formed in fuzzifier, knowledge base and defuzzifier. Applications of the fuzzy system involves analyzing and managing the risk in nuclear reactors based on the classification of the events information. 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 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 the fuzzy approach to make it easier as a model based on If-Then rules. Simulation results illustrated that fuzzy logic system gives many advantages for risk assessment such as the dynamic modeling in If-Then rules.

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“…Hi: The null hypothesis is not true. Risk analysis, on the other hand, is a systematic process of identifying, assessing, and managing potential risks or uncertainties that may impact the objectives or outcomes of a project, decision, or operation [31][32][33][34][35]. It involves a structured examination of the potential events that could affect the achievement of goals, along with an evaluation of the probability and severity of those events [31,33,34] (equation 2).…”

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RAPOT: An Adaptive Multifactor Risk Assessment Framework on Public Opinion for Trial Management

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