New concepts to enhance fuzziness modelling

Lassaad Ellouze, Rafik Bouaziz, Salem Chakhar

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

This paper extends FSM (Fuzzy Semantic Model), a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes a parametrisation of the semantic decision rules and 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.
Translated title of the contributionNew concepts to enhance fuzziness modelling
Original languageFrench
Title of host publicationActes du XXVII° congrès INFORSID, Toulouse, France, 26-29 Mai, 2009
Pages177–192
Number of pages15
Publication statusPublished - 26 May 2009

Keywords

  • Fuzzy database
  • Decision rule
  • Fuzzy semantic model

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