Weak cylindric probability algebras.
Rašković, M., Djordjević, R.S., Bradić, M. (1997)
Publications de l'Institut Mathématique. Nouvelle Série
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Rašković, M., Djordjević, R.S., Bradić, M. (1997)
Publications de l'Institut Mathématique. Nouvelle Série
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J. Łoś (1955)
Colloquium Mathematicae
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A. Montanaro, A. Bressan (1983)
Rendiconti del Seminario Matematico della Università di Padova
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Zoran Ognjanović, Nebojša Ikodinović (2007)
Publications de l'Institut Mathématique
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Enric Trillas (1988)
Stochastica
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In this paper we present and develop, only elementarily, an axiomatic frame for some special fuzzy relations, the so called relational probabilities, which happen to be families of functions which in some cases are quantic probabilities [1] on sublattices of a given lattice; in this way we obtain calculations similar to the ordinary ones but based on a weaker lattice background. This framework is inspired on the presentation of conditional probability on Boolean algebras made in [5]...
Francesc Esteva (1988)
Stochastica
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Trillas ([1]) has defined a relational probability on an intuitionistic algebra and has given its basic properties. The main results of this paper are two. The first one says that a relational probability on a intuitionistic algebra defines a congruence such that the quotient is a Boolean algebra. The second one shows that relational probabilities are, in most cases, extensions of conditional probabilities on Boolean algebras.
Niki Pfeifer, Gernot D. Kleiter (2006)
Kybernetika
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An important field of probability logic is the investigation of inference rules that propagate point probabilities or, more generally, interval probabilities from premises to conclusions. Conditional probability logic (CPL) interprets the common sense expressions of the form “if ..., then ...” by conditional probabilities and not by the probability of the material implication. An inference rule is probabilistically informative if the coherent probability interval of its conclusion is...
Giulianella Coletti (1996)
Mathware and Soft Computing
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In this paper we present an overview of mathematical models for handling partial entailments and their extensions in a probabilistic frame.