Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers

摘要: In this paper, we present a new method for handling fuzzy risk analysis problems based on measures of similarity between interval-valued numbers. First, propose measure to calculate the degree The proposed uses concept geometry center-of-gravity (COG) points lower numbers and upper numbers, respectively, We also prove some properties measure. Then, use problems. is more flexible intelligent than methods presented in [S.J. Chen, S.M. Fuzzy generalized IEEE Transactions Systems 11 (1) (2003) 45-56; Evaluating rate aggregative software development using set theory, Cybernetics 30 (1999) 57-75; New subjective mental workload assessment analysis, 27 (5) (1996) 449-472; H.M. Lee, Applying theory evaluate development, Sets 79 (3) 323-336; K.J. Schmucker, Sets, Natural Language Computations, Risk Analysis, Computer Science Press, MD (1984)] due fact that it rather or It provides us with useful way