Abstract
Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to de¯ne the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases
| Original language | English |
|---|---|
| Pages (from-to) | 4598-4620 |
| Number of pages | 23 |
| Journal | Information Sciences |
| Volume | 177 |
| Issue number | 21 |
| DOIs | |
| Publication status | Published - 2007 |
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