Abstract
In fuzzy relation-based data model, a membership function is used to represent the degree of a set membership for a fuzzy linguistic term, that is, an attribute value. This paper presents a method to define the membership function for a linguistic term in the integrated FOB via the combination of the membership functions defined for the same linguistic term in FDBs to be integrated. This method comprises the fuzzy addition and fuzzy multiplication as well as the weighted opinion. And thus, it is practical on the application of the integration of FDBs.
| Original language | English |
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| Title of host publication | Proceedings of the International Conference on Artificial Intelligence IC-AI 2003 |
| Editors | H.R. Arabnia, R. Joshua, Y. Mun, H.R. Arabnia, R. Joshua, Y. Mun |
| Pages | 985-987 |
| Number of pages | 3 |
| Volume | 2 |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, United States Duration: Jun 23 2003 → Jun 26 2003 |
Other
| Other | Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas, NV |
| Period | 6/23/03 → 6/26/03 |
Keywords
- Data integration
- Fuzzy relation-based data model
- Membership function
- Weighted combination
ASJC Scopus subject areas
- Artificial Intelligence