作者: Yakov Ben-Haim
DOI: 10.1016/0167-4730(94)90013-2
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摘要: Abstract Uncertainty can be modelled either probabilistically or non-probabilistically. The former option leads to the concept of reliability as probability no-failure. In this paper non-probabilistic convex models uncertainty are used formulate in terms acceptable system performance given uncertain operating environment geometrical imperfections. It is shown that probabilistic very sensitive small inaccuracy model. Consequently, useful when insufficient information available for verifying a addition, theorem presented showing analogous and input lead different predictions range output variation.