Research of CBR retrieval method based on rough set theory

Hui Li, Ye Song, Xiaoping Li, Qiongxin Liu, Yuanfang Zhu

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)
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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
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
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 201525 9月 2015

出版系列

姓名Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
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
国家/地区中国
Beijing
时期23/09/1525/09/15

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引用此

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