DocumentCode :
477973
Title :
Knowledge Discovery for Case Revising in CBR System
Author :
Zeng, Chuanhua ; Jin, Ai ; Li, Qingsong
Author_Institution :
Sch. of Transp. & Automotive Eng., Xihua Univ., Chengdu
Volume :
4
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
574
Lastpage :
578
Abstract :
Case revising is a crucial but difficult step in case-based reasoning (CBR) system. In this paper, the case revising rule, gained by applying intelligent retrieving method, is to help decision maker revise the casepsilas scheme. Generally it consists of secondary revising rules and primary revising rules. Firstly the rough set theory is applied to get the Secondary Revising Rules. Secondly, with the case revising transactions set obtained from decision makers as reference, the association rules mining method is employed to get the Primary Case Revising Rules. Lastly, by combining the two types of rules, the author expounds the detailed case Revising procedure.
Keywords :
case-based reasoning; data mining; rough set theory; association rule mining method; case revising rule; case-based reasoning; intelligent retrieving method; knowledge discovery; rough set theory; Association rules; Automotive engineering; Data mining; Fuzzy logic; Fuzzy systems; Set theory; Transportation; CBR; Knowledge Discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.187
Filename :
4666450
Link To Document :
بازگشت