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Titlebook: Analysis and Decision Making in Uncertain Systems; Zdzislaw Bubnicki Book 2004 Springer-Verlag London 2004 Analysis.computer.decision supp

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Shape Modifying by Material Removal so-called . may be used to formulate and solve the analysis and decision problems [17, 18, 19, 21–24, 26, 29]. The main idea of this method consists in replacing individual reasoning concepts based on inference rules by unified algebraic procedures based on the rules in two-value logic algebra.
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The Importance of Detail: Tolerancesave been developed for several decades, starting with such concepts and tools as adaptation, stochastic optimization and statistical decision theory (see e.g. [2, 3, 68, 79, 80]). The first period of this development was devoted to systems described by traditional mathematical models with unknown pa
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Shape Modifying: Retaining Material parameters in the function or in the relation describing the plant are assumed to be values of random variables with the given probability distributions. In the non-parametric case, the plant is described by the given conditional probability distribution. The foundations of random variables and pro
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Shape Modifying: Retaining Material for random and uncertain variables. In Sect. 6.1, a very short description of fuzzy variables (see e.g. [69, 71, 74, 75, 84, 103, 104]) is given in the form needed to formulate our problems and to indicate analogies for non-parametric problems based on random, uncertain and fuzzy variables. These a
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Shape Modifying by Material Removal so-called . may be used to formulate and solve the analysis and decision problems [17, 18, 19, 21–24, 26, 29]. The main idea of this method consists in replacing individual reasoning concepts based on inference rules by unified algebraic procedures based on the rules in two-value logic algebra.
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