Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
395968 | Information Sciences | 2007 | 23 Pages |
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 define 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Sudha Ram, Abdelkader Telmoudi,