摘要
Case retrieval is the key technology of case-based reasoning (CBR), directly affect the efficiency and quality of CBR. For the measurement issues of similar cases, using rough set theory to determine the importance of attributes and to distribute the rational weights of each property. Taking the improved nearest neighbor method which is based on the combination of Hamming distance and Euclidean distance to solve case similarity, improve the accuracy and efficiency of case matching.
源语言 | 英语 |
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主期刊名 | ICSESS 2015 - Proceedings of 2015 IEEE 6th International Conference on Software Engineering and Service Science |
编辑 | M. Surendra Prasad Babu, Li Wenzheng |
出版商 | IEEE Computer Society |
页 | 990-993 |
页数 | 4 |
ISBN(电子版) | 9781479983520 |
DOI | |
出版状态 | 已出版 - 25 11月 2015 |
活动 | 6th IEEE International Conference on Software Engineering and Service Science, ICSESS 2015 - Beijing, 中国 期限: 23 9月 2015 → 25 9月 2015 |
出版系列
姓名 | Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS |
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卷 | 2015-November |
ISSN(印刷版) | 2327-0586 |
ISSN(电子版) | 2327-0594 |
会议
会议 | 6th IEEE International Conference on Software Engineering and Service Science, ICSESS 2015 |
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国家/地区 | 中国 |
市 | Beijing |
时期 | 23/09/15 → 25/09/15 |
指纹
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Li, H., Song, Y., Li, X., Liu, Q., & Zhu, Y. (2015). Research of CBR retrieval method based on rough set theory. 在 M. S. P. Babu, & L. Wenzheng (编辑), ICSESS 2015 - Proceedings of 2015 IEEE 6th International Conference on Software Engineering and Service Science (页码 990-993). 文章 7339220 (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS; 卷 2015-November). IEEE Computer Society. https://doi.org/10.1109/ICSESS.2015.7339220