Approximations of belief functions using compositional models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00546027" target="_blank" >RIV/67985556:_____/21:00546027 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-86772-0_26" target="_blank" >http://dx.doi.org/10.1007/978-3-030-86772-0_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-86772-0_26" target="_blank" >10.1007/978-3-030-86772-0_26</a>

Result language
angličtina
Original language name
Approximations of belief functions using compositional models
Original language description
For applications to practical problems, the paper proposes to use the approximations of belief functions, which simplify their dependence structure. Using an analogy with probability distributions, we represent these approximations in the form of compositional models. As no theoretical apparatus similar to probabilistic information theory exists for belief functions, the problems arise not only in connection with the design of algorithms seeking the optimal approximations but even in connection with a criterion comparing two different approximations. With this respect, the application of the analogy with probability theory fails. Therefore, the paper suggests the employment of simple heuristics easily applicable to real-life problems.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 16th European Conference, ECSQARU 2021 Proceedings
ISBN
978-3-030-86771-3
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
354-366
Publisher name
Springer
Place of publication
Cham
Event location
Praha
Event date
Sep 21, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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