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Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective
- 1.0507222 - ÚTIA 2020 RIV CH eng C - Conference Paper (international conference)
Jiroušek, Radim - Shenoy, P. P.
Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective.
Belief Functions: Theory and Applications. Cham: Springer, 2016 - (Vejnarová, J.; Kratochvíl, V.), s. 3-13. Lecture Notes in Artificial Intelligence, LNAI 9861. ISBN 978-3-319-45558-7. ISSN 0302-9743.
[International Conference on Belief Functions 2016 /4./. Prague (CZ), 21.09.2016-23.09.2016]
Grant - others:GA ČR(CZ) GA15-00215S
Institutional support: RVO:67985556
Keywords : Dempster-Shafer theory * Entropy * Probability consistency * Ignorance
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2019/MTR/jirousek-0507222.pdf
The paper proposes a new definition of entropy of basic probability assignments (BPA) in the Dempster-Shafer (D-S) theory of belief functions, which is interpreted as a measure of total uncertainty in the BPA. A list of five desired properties of entropy for D-S belief functions theory is stated that are motivated by Shannon's definition of entropy of probability functions, together with the implicit requirement that any definition should be consistent with the semantics of D-S belief functions theory.
Permanent Link: http://hdl.handle.net/11104/0298564
Number of the records: 1