DocumentCode :
3513224
Title :
Multi-Criteria Decision Making Approach Based on Extended Rough Set
Author :
Hu, Junhua ; Chen, Xiaohong
Author_Institution :
Bus. Sch., Central South Univ., Changsha
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
6071
Lastpage :
6074
Abstract :
This paper proposed a multi-criteria decision making approach based on extended rough set. The approach combines both rough set theory (RST) model based on dominance relation and variable precision rough set (VPRS) model, and the minimum confidence of rule acts as the variable parameter in VPRS model. First, a pairwise comparison table (PCT) is constructed from original decision table. Then, decision rules are mined from PCT by decision tree technology according to the combined model. Finally, a score function is defined to sort new alternatives and the optical one is selected. Feasibility of the approach is demonstrated by a simple illustrative example.
Keywords :
decision making; decision trees; rough set theory; decision tree technology; dominance relation; multicriteria decision making; pairwise comparison table; variable precision rough set model; Data mining; Decision making; Decision trees; Delta modulation; Error correction; Interference; Machine learning; Rough sets; Set theory; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.1489
Filename :
4341264
Link To Document :
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