@inproceedings{80731175dbda41419cb452bb86559e01,
title = "Research of CBR retrieval method based on rough set theory",
abstract = "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.",
keywords = "cbr, retrieval method, rough set theory, similarity",
author = "Hui Li and Ye Song and Xiaoping Li and Qiongxin Liu and Yuanfang Zhu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE International Conference on Software Engineering and Service Science, ICSESS 2015 ; Conference date: 23-09-2015 Through 25-09-2015",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/ICSESS.2015.7339220",
language = "English",
series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",
publisher = "IEEE Computer Society",
pages = "990--993",
editor = "Babu, \{M. Surendra Prasad\} and Li Wenzheng",
booktitle = "ICSESS 2015 - Proceedings of 2015 IEEE 6th International Conference on Software Engineering and Service Science",
address = "United States",
}