The application of Dempster-Shafer theory demonstrated with justification provided by legal evidence [PDF]
Judgment and Decision Making, 2007 In forecasting and decision making, people can and often do represent a degree of belief in some proposition. At least two separate constructs capture such degrees of belief: likelihoods capturing evidential balance and support capturing evidential ...
Shawn P. Curley
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Combination of Classifiers With Different Frames of Discernment Based on Belief Functions
IEEE transactions on fuzzy systems, 2021 Classifier fusion remains an effective method to improve classification performance. In applications, the classifiers learnt using different attributes may work with various frames of discernment (FoD) of classification.
Zhunga Liu +3 more
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Belief functions and rough sets: Survey and new insights
International Journal of Approximate Reasoning, 2022 Rough set theory and belief function theory, two popular mathematical frameworks for uncertainty representation, have been widely applied in different settings and contexts.
Andrea Campagner, D. Ciucci, T. Denoeux
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Distributed combination of belief functions
Information Fusion, 2021 We consider the problem of combining belief functions in a situation where pieces of evidence are held by agents at the node of a communication network, and each agent can only exchange information with its neighbors.
T. Denoeux
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Diag-Skills: A Diagnosis System Using Belief Functions and Semantic Models in ITS
Applied Sciences, 2021 This work is related to the diagnosis process in intelligent tutoring systems (ITS). This process is usually a complex task that relies on imperfect data. Indeed, learning data may suffer from imprecision, uncertainty, and sometimes contradictions.
Nesrine Rahmouni +3 more
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Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence [PDF]
Fuzzy Sets Syst., 2020 We revisit Zadeh's notion of "evidence of the second kind" and show that it provides the foundation for a general theory of epistemic random fuzzy sets, which generalizes both the Dempster-Shafer theory of belief functions and possibility theory. In this
T. Denoeux
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Involutory Negator of Basic Belief Assignments
Cybernetics and Information Technologies, 2023 This paper analyzes the different definitions of a negator of a probability mass function (pmf) and a Basic Belief Assignment (BBA) available in the literature.
Dezert Jean, Tchamova Albena
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RPREC: A Radar Plot Recognition Algorithm Based on Adaptive Evidence Classification
Applied Sciences, 2023 When radar receives target echoes to form plots, it is inevitably affected by clutter, which brings a lot of imprecise and uncertain information to target recognition.
Rui Yang, Yingbo Zhao, Yuan Shi
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Probability functions, belief functions and infinite regresses [PDF]
Synthese, 2020 AbstractIn a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regresses have different solutions depending on whether they are analyzed with probability functions or with belief functions. Meester and Kerkvliet give two examples, each of which aims to show that an analysis based on belief functions yields a ...
David Atkinson, Jeanne Peijnenburg
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Decision making with consonant belief functions: Discrepancy resulting with the probability transformation method used [PDF]
Yugoslav Journal of Operations Research, 2014 Dempster−Shafer belief function theory can address a wider class of uncertainty than the standard probability theory does, and this fact appeals the researchers in operations research society for potential application areas. However, the lack of
Cinicioglu Esma Nur
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