Fuzzy Risks Analysis Based On Similarity Measures Of Generalized Fuzzy Numbers

The risk may divide into under random environment and fuzzy environment riskand so on based on future’s uncertain loss. But the risk analysis is studies the systemto complete the risk which under the controlled condition its predetermined functionundertakes, including determination probability of failure and severity of loss ofsystem. Analysis risk will take to bring with the subjective color more or less underthe traditional random environment’s theory of probability method; On the other hand,in the actual system risk analysis, decision makers are usually faced with the lack ofprecise information to assess the risk size of the system.Therefore, this thesis has established the fuzzy risk analysis model whichconsidering the degrees of confidence of decesionmakers’ opinions using the riskanalysis theory and the related fuzzy mathematics knowledge based on the relevantliterature at home and abroad, and presented a new method for calculating thesimilarity measures of generalized fuzzy numbers, then used it to deal with the fuzzyrisk analysis problem.