Extending fuzzy semantic model by advanced decision rules

L. Ellouze, R. Bouaziz, Salem Chakhar

    Research output: Contribution to conferencePaperpeer-review

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    Abstract

    This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which allows enhancing the modeling of real-world applications. It integrates these concepts in FSM by the definition of new decision rules.
    Original languageEnglish
    Publication statusPublished - 2009
    EventThe 28th North American Fuzzy Information Processing Society Annual Conference - Cincinnati, Ohio, United States
    Duration: 14 Jun 200917 Jun 2009

    Conference

    ConferenceThe 28th North American Fuzzy Information Processing Society Annual Conference
    Country/TerritoryUnited States
    CityCincinnati, Ohio
    Period14/06/0917/06/09

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