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https://www.researchgate.net/publication/259338633_Interval_Probability_Theory_for_Evidential_Support
PDF An interval theory of probability is presented for use as a measure of evidential support in knowledge-based systems. an interval number is used to capture, in a relatively simple manner ...
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.4550050204
An interval theory of probability is presented for use as a measure of evidential support in knowledge‐based systems. an interval number is used to capture, in a relatively simple manner, features of fuzziness and incompleteness. the vertex method is used for the interval analysis.Cited by: 100
https://www.deepdyve.com/lp/wiley/interval-probability-theory-for-evidential-support-73tnC0mBvD
An interval theory of probability is presented for use as a measure of evidential support in knowledge‐based systems. an interval number is used to capture, in a relatively simple manner, features of fuzziness and incompleteness. the vertex method is used for the interval analysis. A new parameter (also an interval number), p, called the degree of dependence is introduced. the relationship ...
https://www.sciencedirect.com/topics/mathematics/probability-interval
Kyburg maintained that one can interpret an evidential probability interval for proposition χ as providing bounds on the degree to which an agent should believe χ, but he had reservations about this move:. Should we speak of partial beliefs as ‘degrees of belief’? …
http://gregorywheeler.org/papers/EP-OBE.pdf
evidential probability and objective Bayesian epistemology. 2 Evidential Probability 2.1 Motivation Rudolf Carnap (Carnap, 1962) drew a distinction between probability 1,which concerned rational degrees of belief, and probability 2, which concerned statis-tical regularities. Although he claimed that both notions of …
https://www.irit.fr/~Didier.Dubois/Papers1208/possibility-EUSFLAT-Mag.pdf
Possibility Theory and its Applications: Where Do we Stand ? Didier Dubois and Henri Prade IRIT-CNRS, Universit e Paul Sabatier, 31062 Toulouse Cedex 09, France ... version of probability theory, or a framework for reasoning with extreme probabilities, or ... according to evidence. ( A) can be used as a degree of evidential support for A. Uncertain
https://www.sciencedirect.com/science/article/pii/S0888613X98100105
Introduction Cui and Blockley [1] introduced interval probability theory (IPT) as a mea- sure of evidential support in knowledge-based systems. Interval numbers are use to represent the probability measure in order to capture in a relatively sim- ple manner, features of fuzziness and incompleteness.Cited by: 84
https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs18290
Apr 09, 2019 · Unlike to the probability theory which assigns a crisp value to a proposition B, the evidence theory employs an interval measure [Bel(B), Pl(B)] to quantitatively characterize the belief degree of proposition B. The lower bound, called the belief function, is defined as the total amount of the masses that support proposition B:Cited by: 5
https://en.wikipedia.org/wiki/Imprecise_probability
Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague, or conflicting, in which case a unique probability distribution may be hard to identify. Thereby, the theory aims to represent the available knowledge more accurately.
https://www.researchgate.net/publication/3575125_From_interval_probability_theory_to_computable_fuzzy_first-order_logic_and_beyond
From interval probability theory to computable fuzzy first-order logic and beyond. ... "Interval Probability Theory of Evidential Support'', ... The support of the National Science Council, ...
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