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 contribution | New concepts to enhance fuzziness modelling |
|---|---|
| Original language | French |
| Title of host publication | Actes du XXVII° congrès INFORSID, Toulouse, France, 26-29 Mai, 2009 |
| Pages | 177–192 |
| Number of pages | 15 |
| Publication status | Published - 26 May 2009 |
Keywords
- Fuzzy database
- Decision rule
- Fuzzy semantic model