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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