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 &
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"
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
Print_ISBN :
978-1-4799-8352-0
Electronic_ISBN :
2327-0594
DOI :
10.1109/ICSESS.2015.7339220