摘要
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.
原文 | 英語 |
---|---|
主出版物標題 | Proceedings of the International Conference on Artificial Intelligence IC-AI 2003 |
編輯 | H.R. Arabnia, R. Joshua, Y. Mun, H.R. Arabnia, R. Joshua, Y. Mun |
頁面 | 985-987 |
頁數 | 3 |
卷 | 2 |
出版狀態 | 已發佈 - 2003 |
對外發佈 | 是 |
事件 | Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, 美国 持續時間: 6月 23 2003 → 6月 26 2003 |
其他
其他 | Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 |
---|---|
國家/地區 | 美国 |
城市 | Las Vegas, NV |
期間 | 6/23/03 → 6/26/03 |
ASJC Scopus subject areas
- 人工智慧