Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
IEEE Transactions on Fuzzy Systems
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Expectation of loss is adopted to describe the potential risk of an information system in conventional risk assessment methods which can not reflect the nonlinear property of loss. To solve the problem, this paper proposes a loss utility function and a possibility utility function to describe the loss and possibility of risk respectively, together with the concept of risk utility. With AHP (analytic hierarchy process) and risk utility combined together, this paper manages to conduct a relatively comprehensive risk assessment of the system and demonstrates its effectiveness in an example in practice.