政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/69124

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113311/144292 (79%)
Visitors : 50932563 Online Users : 959

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/69124

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69124

Title:	Efficient refinement of uncertain data by fuzzy integrity constraints
Authors:	陳良弼 Chang,Chih-Shyang;Chen,Arbee L.P.
Contributors:	資科系
Date:	1997
Issue Date:	2014-08-21 14:47:21 (UTC+8)
Abstract:	Fuzzy data models were proposed to handle uncertain data. Based on a set of fuzzy functional dependencies, the fuzzy values in a fuzzy relation may be refined into clearer ones. In this paper, we develop efficient algorithms for the refinement process. A dependency graph is defined for a set of fuzzy functional dependencies. By this graph, an efficient refinement sequence can be determined. These algorithms are proved correct and efficient.
Relation:	Information Sciences: An International Journal (EI,SCI), Elsevier Science,191-212
Data Type:	article
Appears in Collections:	[資訊科學系] 期刊論文

Files in This Item:

File	Description	Size	Format
191-212.pdf		814Kb	Adobe PDF2	760	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...