Subjective conditional probability and coherence principles for handling partial information.
Romano Scozzafava (1996)
Mathware and Soft Computing
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Displaying similar documents to “On practical problems with the explanation of the difference between possibility and probability”
Subjective conditional probability and coherence principles for handling partial information.
An Alternative Approach for Choice Models in Transportation: Use of Possibility Theory for Comparison of Utilities
Mauro Dell’Orco, Shinya Kikuchi (2004)
The Yugoslav Journal of Operations Research
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Synthesis of probability transformers
J. Łąski (1976)
Applicationes Mathematicae
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Coherence principles for handling qualitative and quantitative partial probabilistic assessments.
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.
Medium distances of probability-fuzzy points and an application to linear programming
Tran Quoc Chien (1989)
Kybernetika
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A new definition of the fuzzy set
Andrzej Piegat (2005)
International Journal of Applied Mathematics and Computer Science
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The present fuzzy arithmetic based on Zadeh's possibilistic extension principle and on the classic definition of a fuzzy set has many essential drawbacks. Therefore its application to the solution of practical tasks is limited. In the paper a new definition of the fuzzy set is presented. The definition allows for a considerable fuzziness decrease in the number of arithmetic operations in comparison with the results produced by the present fuzzy arithmetic.
Modeling biased information seeking with second order probability distributions
Gernot D. Kleiter (2015)
Kybernetika
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Updating probabilities by information from only one hypothesis and thereby ignoring alternative hypotheses, is not only biased but leads to progressively imprecise conclusions. In psychology this phenomenon was studied in experiments with the “pseudodiagnosticity task”. In probability logic the phenomenon that additional premises increase the imprecision of a conclusion is known as “degradation”. The present contribution investigates degradation in the context of second order probability...
Many-dimensional observables on Łukasiewicz tribe: constructions, conditioning and conditional independence
Tomáš Kroupa (2005)
Kybernetika
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Probability on collections of fuzzy sets can be developed as a generalization of the classical probability on -algebras of sets. A Łukasiewicz tribe is a collection of fuzzy sets which is closed under the standard fuzzy complementation and under the pointwise application of the Łukasiewicz t-norm to countably many fuzzy sets. An observable is a fuzzy set-valued mapping defined on a -algebra of sets and satisfying some additional properties; formally, the role of an observable is in...