Theory and Decision 49 (2):127-150 (2000)

Abstract
It is shown that the uncertainty connected with a `random in a broad sense' (not necessarily stochastic) event always has some `statistical regularity' (SR) in the form of a family of finite-additive probability distributions. The specific principle of guaranteed result in decision making is introduced. It is shown that observing this principle of guaranteed result leads to determine the one optimality criterion corresponding to a decision system with a given `statistical regularity'
Keywords Uncertainty  Random in a broad sense phenomena  Statistical regularity  Principle of guaranteed result  Optimality criterion choice
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DOI 10.1023/A:1005262832464
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