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Uncertainty Modeling in Risk Analysis: A Fuzzy Set Approach
2012
International Journal of Computer Applications
Risk assessment is a popular and important tool in decision making process. Risk assessment is generally performed using models and model is a function of some parameters which are usually affected by uncertainty. Here, we consider that model parameters are affected by epistemic uncertainty. To represent epistemic uncertainty in general triangular fuzzy number or trapezoidal fuzzy numbers are used. In this paper, we study Gaussian fuzzy number to represent epistemic type uncertainty and try to
doi:10.5120/6199-8734
fatcat:o3dxalhsajf7xethqtvoafc4qu