Comparison of the Defuzzification Methods in Risk Assessment Applications

In risk assessment models the soft computing methods are very popular, because they can handle the uncertainty and imprecision in the data and in the evaluation process. Nevertheless, in practical applications, especially equipment and engineering plans for the project sizing and design studies are needed to precise numerical values. In this paper a fuzzy-based risk assessment model is introduced, where the fuzzy information, which is obtained as the result of the inference, should be defuzzifed in order to give the necessary answer. The main aim of this paper is about presenting the risk assessment calculation and achievement of well-known traditional defuzzification methods using MATLAB Fuzzy Logic Toolbox application.