DocumentCode
3699291
Title
Research of CBR retrieval method based on rough set theory
Author
Hui Li;Ye Song;Xiaoping Li;Qiongxin Liu;Yuanfang Zhu
Author_Institution
School of Computer Science &
fYear
2015
Firstpage
990
Lastpage
993
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
"Set theory","Euclidean distance","Hamming distance","Courseware","Yttrium","Cognition","Knowledge representation"
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
ISSN
2327-0586
Print_ISBN
978-1-4799-8352-0
Electronic_ISBN
2327-0594
Type
conf
DOI
10.1109/ICSESS.2015.7339220
Filename
7339220
Link To Document