On the membership function in the integration of fuzzy databases

Tsu Hao Chang; Julie Yu Chih Liu

On the membership function in the integration of fuzzy databases

研究成果: 書貢獻/報告類型 › 會議貢獻

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

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Chang, TH & Liu, JYC 2003, On the membership function in the integration of fuzzy databases. 於 HR Arabnia, R Joshua, Y Mun, HR Arabnia, R Joshua & Y Mun (編輯), Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. 卷 2, 頁 985-987, Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003, Las Vegas, NV, 美国, 6/23/03.

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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.",

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AB - 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.

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BT - Proceedings of the International Conference on Artificial Intelligence IC-AI 2003

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A2 - Joshua, R.

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T2 - Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003

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On the membership function in the integration of fuzzy databases

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