Extending fuzzy semantic model by advanced decision rules

L. Ellouze; R. Bouaziz; Salem Chakhar

Extending fuzzy semantic model by advanced decision rules

L. Ellouze, R. Bouaziz, Salem Chakhar

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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 language	English
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

Conference	The 28th North American Fuzzy Information Processing Society Annual Conference
Country/Territory	United States
City	Cincinnati, Ohio
Period	14/06/09 → 17/06/09

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title = "Extending fuzzy semantic model by advanced decision rules",

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.",

author = "L. Ellouze and R. Bouaziz and Salem Chakhar",

year = "2009",

language = "English",

note = "The 28th North American Fuzzy Information Processing Society Annual Conference ; Conference date: 14-06-2009 Through 17-06-2009",

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TY - CONF

T1 - Extending fuzzy semantic model by advanced decision rules

AU - Ellouze, L.

AU - Bouaziz, R.

AU - Chakhar, Salem

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

M3 - Paper

T2 - The 28th North American Fuzzy Information Processing Society Annual Conference

Y2 - 14 June 2009 through 17 June 2009

ER -

Extending fuzzy semantic model by advanced decision rules

Abstract

Conference

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