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  1. Existence of hidden variables having only upper probabilities.Patrick Suppes & Mario Zanotti - 1991 - Foundations of Physics 21 (12):1479-1499.
    We prove the existence of hidden variables, or, what we call generalized common causes, for finite sequences of pairwise correlated random variables that do not have a joint probability distribution. The hidden variables constructed have upper probability distributions that are nonmonotonic. The theorem applies directly to quantum mechanical correlations that do not satisfy the Bell inequalities.
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  • Conditions on upper and lower probabilities to imply probabilities.Patrick Suppes & Mario Zanotti - 1989 - Erkenntnis 31 (2-3):323 - 345.
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  • Probability of provability and belief functions.Philippe Smets - 1991 - Logique Et Analyse 133 (134):177-195.
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  • A random utility model for a belief function.Jean-Claude Falmagne - 1983 - Synthese 57 (1):35 - 48.
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  • Convex models of uncertainty: Applications and implications. [REVIEW]Yakov Ben-Haim - 1994 - Erkenntnis 41 (2):139 - 156.
    Modern engineering has included the basic sciences and their accompanying mathematical theories among its primary tools. The theory of probability is one of the more recent entries into standard engineering practice in various technological disciplines. Probability and statistics serve useful functions in the solution of many engineering problems. However, not all technological manifestations of uncertainty are amenable to probabilistic representation. In this paper we identify the conceptual limitations of probabilistic and related theories as they occur in a wide range of (...)
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