Results 31 to 40 of about 7,477 (225)
Combination of interval-valued belief structures based on belief entropy
CoRR, 2020 Simply using MDPI as a template.
Miao Qin, Yongchuan Tang
openaire +2 more sources
Weighted Conflict Evidence Combination Method Based on Hellinger Distance and the Belief Entropy
IEEE Access, 2020 In the Dempster-Shafer evidence theory, how to effectively measure the degree of conflict between two bodies of evidence is still an open question. To solve this problem, we propose a weighted conflict evidence combination method based on Hellinger ...
Junwei Li +4 more
doaj +1 more source
Generalizing Information to the Evolution of Rational Belief
Entropy, 2020 Information theory provides a mathematical foundation to measure uncertainty in belief. Belief is represented by a probability distribution that captures our understanding of an outcome’s plausibility.
Jed A. Duersch, Thomas A. Catanach
doaj +1 more source
Sensors, 2018 Quantification of uncertain degree in the Dempster-Shafer evidence theory (DST) framework with belief entropy is still an open issue, even a blank field for the open world assumption.
Yongchuan Tang +2 more
doaj +1 more source
Computing the decomposable entropy of belief-function graphical models
International Journal of Approximate Reasoning, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Radim Jirousek +2 more
openaire +3 more sources
Entropy and Belief Networks [PDF]
, 1992 The product expansion of conditional probabilities for belief nets is not maximum entropy. This appears to deny a desirable kind of assurance for the model. However, a kind of guarantee that is almost as strong as maximum entropy can be derived. Surprisingly, a variant model also exhibits the guarantee, and for many cases obtains a higher performance ...
openaire +3 more sources
An Improved Deng Entropy and Its Application in Pattern Recognition
IEEE Access, 2019 How to manage the uncertainty of the basic probability assignment accurately and efficiently is of significance and also an open issue. Plenty of functions have been established to cover the issue, especially Deng entropy recently.
Huizi Cui +3 more
doaj +1 more source
Formal Analysis of Information Flow Using Min-Entropy and Belief Min-Entropy [PDF]
, 2013 Information flow analysis plays a vital role in obtaining quantitative bounds on information leakage due to external attacks. Traditionally, information flow analysis is done using paper-and-pencil based proofs or computer simulations based on the Shannon entropy and mutual information.
Ghassen Helali +2 more
openaire +2 more sources
A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions
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. The quantification of the information that a piece of evidence involves is a key issue in TE.
Joaquín Abellán +2 more
openaire +4 more sources
Sensors, 2023 In IoT environments, voluminous amounts of data are produced every single second. Due to multiple factors, these data are prone to various imperfections, they could be uncertain, conflicting, or even incorrect leading to wrong decisions. Multisensor data
Nour El Imane Hamda +2 more
doaj +1 more source