Number of the records: 1  

The axiomatization of asymmetric disjunction and conjunction

  1. 1.
    SYSNO ASEP0531644
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleThe axiomatization of asymmetric disjunction and conjunction
    Author(s) Hudec, M. (SK)
    Mesiar, Radko (UTIA-B) RID, ORCID
    Number of authors2
    Source TitleInformation Fusion. - : Elsevier - ISSN 1566-2535
    Roč. 53, č. 1 (2020), s. 165-173
    Number of pages9 s.
    Publication formPrint - P
    Languageeng - English
    CountryNL - Netherlands
    KeywordsAnd if possible operators ; Averaging functions ; Or else operators
    Subject RIVBA - General Mathematics
    OECD categoryApplied mathematics
    Method of publishingOpen access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000488995000016
    EID SCOPUS85067814416
    DOI10.1016/j.inffus.2019.06.018
    AnnotationIn many real-world cases, disjunction is expressed as the fusion of full alternatives and less relevant ones, which leads to an OR ELSE connective. Obviously, this connective, so-called intensified disjunction, should provide a solution lower than or equal to the MAX operator, and higher than or equal to the projection of the full alternative. Further, to cover the cases when higher satisfaction degrees to the less relevant alternative cause that it becomes the full alternative, non–continuous asymmetric disjunction is required. The dual observation holds for the fusion of constraints (hard conditions) and wishes (soft conditions) expressed by an AND IF POSSIBLE connective. In order to cover these requirements, the paper focuses on developing a full axiomatization of asymmetric disjunction and asymmetric conjunction by averaging functions. Next, the necessity and sufficiency for associative behaviour have been proven. Moreover, the non-dual cases are also documented. Finally, the obtained results are illustrated on examples, and their applicability is also discussed.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2021
    Electronic addresshttps://www.sciencedirect.com/science/article/pii/S1566253518308510
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.