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Entropy-Based Search for the Most Informative Belief Functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00598807" target="_blank" >RIV/67985556:_____/24:00598807 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-65993-5_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-65993-5_23</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-65993-5_23" target="_blank" >10.1007/978-3-031-65993-5_23</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Entropy-Based Search for the Most Informative Belief Functions

  • Original language description

    The paper deals with the problem studied in our previous paper published in Int. J. Approx. Reasoning, which raised new questions rather than brought solutions. Thus, the current contribution also tries to answer the ever-lasting question: Which belief function entropies described in the literature can detect optimal models? Nevertheless, here, we approach the problem differently. We try to find out the entropy functions that are indirectly proportional to the informative content of belief functions, i.e., the moreinformative the belief function, the lower its entropy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA21-07494S" target="_blank" >GA21-07494S: Efficiency of Carbon Reduction Policies</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

  • ISBN

    978-3-031-65992-8

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    192-199

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Salzburg

  • Event date

    Sep 3, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001323540900023