Results 1 to 10 of about 75,486 (159)
A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions [PDF]
Entropy, 2023 Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information.
Joaquín Abellán +2 more
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A New Correlation Measure for Belief Functions and Their Application in Data Fusion [PDF]
Entropy, 2023 Measuring the correlation between belief functions is an important issue in Dempster–Shafer theory. From the perspective of uncertainty, analyzing the correlation may provide a more comprehensive reference for uncertain information processing.
Zhuo Zhang +3 more
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Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions [PDF]
Entropy, 2022 Recent studies of alternative probabilistic transformation (PT) in Dempster–Shafer (DS) theory have mainly focused on investigating various schemes for assigning the mass of compound focal elements to each singleton in order to obtain a Bayesian belief ...
Yilin Dong, Lei Cao, Kezhu Zuo
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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
exaly +3 more sources
The normative representation of quantified beliefs by belief functions
Artificial Intelligence, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Philippe Smets
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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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Consonant approximations of belief functions
International Journal of Approximate Reasoning, 1990 Based on a recently introduced definition of inclusion between random sets, a general notion of approximation of a belief function by some other set-function is introduced. Viewing a fuzzy set as a consonant random set, it is shown how to construct fuzzy sets that may act as approximations of belief functions. Two kinds of approximations are considered:
Henri Prade
exaly +4 more sources
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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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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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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