| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | 陳良弼 | zh_TW |
| dc.creator (作者) | Chang,Chih-Shyang; Chen,Arbee L.P. | en_US |
| dc.date (日期) | 1997 | en_US |
| dc.date.accessioned | 21-Aug-2014 14:47:21 (UTC+8) | - |
| dc.date.available | 21-Aug-2014 14:47:21 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Aug-2014 14:47:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/69124 | - |
| dc.description.abstract (摘要) | 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. | en_US |
| dc.format.extent | 833557 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Information Sciences: An International Journal (EI,SCI), Elsevier Science,191-212 | en_US |
| dc.title (題名) | Efficient refinement of uncertain data by fuzzy integrity constraints | en_US |
| dc.type (資料類型) | article | en |
