Results 11 to 20 of about 1,058,148 (324)
Belief functions on lattices [PDF]
International Journal of Intelligent Systems, 2008 We extend the notion of belief function to the case where the underlying structure is no more the Boolean lattice of subsets of some universal set, but any lattice, which we will endow with a minimal set of properties according to our needs. We show that
Grabisch, Michel
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Hidden Conflicts of Belief Functions
International Journal of Computational Intelligence Systems, 2020 In this paper, hidden conflicts of belief functions are observed in the case where the sum of all multiples of the conflicting belief masses equals zero.
Milan Daniel, Václav Kratochvíl
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An elementary belief function logic [PDF]
Journal of Applied Non-Classical Logics, 2023 Non-additive uncertainty theories, typically possibility theory, belief functions and imprecise probabilities share a common feature with modal logic: the duality properties between possibility and necessity measures, belief and plausibility functions as well as between upper and lower probabilities extend the duality between possibility and necessity ...
Didier Dubois +2 more
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Hierarchical Evidence and Belief Functions [PDF]
CoRR, 2013 Dempster/Shafer (D/S) theory has been advocated as a way of representing incompleteness of evidence in a system's knowledge base. Methods now exist for propagating beliefs through chains of inference. This paper discusses how rules with attached beliefs, a common representation for knowledge in automated reasoning systems, can be transformed into the ...
Paul Black, Kathryn Blackmond Laskey
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Two Applications of Inter-Criteria Analysis with Belief Functions
Cybernetics and Information Technologies, 2020 In this paper we present two applications of a new Belief Function-based Inter-Criteria Analysis (BF-ICrA) approach for the assessment of redundancy of criteria involved in Multi-Criteria Decision-Making (MCDM) problems.
Dezert Jean +3 more
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A New Image Registration Algorithm Based on Evidential Reasoning
Sensors, 2019 Image registration is a crucial and fundamental problem in image processing and computer vision, which aims to align two or more images of the same scene acquired from different views or at different times.
Zhe Zhang +3 more
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Second-Order Belief Hidden Markov Models [PDF]
, 2014 Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model.
A. Aregui +17 more
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Credible Information, Allowable Information and Belief Revision - Extended Abstract [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 In an earlier paper [Rational choice and AGM belief revision, Artificial Intelligence, 2009] a correspondence was established between the choice structures of revealed-preference theory (developed in economics) and the syntactic belief revision ...
Giacomo Bonanno
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Approximated Computation of Belief Functions for Robust Design Optimization [PDF]
, 2012 This paper presents some ideas to reduce the computational cost of evidence-based robust design optimization. Evidence Theory crystallizes both the aleatory and epistemic uncertainties in the design parameters, providing two quantitative measures, Belief
A. +10 more
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On conditional belief functions
International Journal of Approximate Reasoning, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chunhai Yu, Fahard Arasta
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