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.
|Publication status||Published - 2009|
|Event||The 28th North American Fuzzy Information Processing Society Annual Conference - Cincinnati, Ohio, United States|
Duration: 14 Jun 2009 → 17 Jun 2009
|Conference||The 28th North American Fuzzy Information Processing Society Annual Conference|
|Period||14/06/09 → 17/06/09|