DocumentCode :
2913630
Title :
A grey rough set model based on (α,β) grey similarity relation
Author :
Shunxiang, Wu ; Zhiyong, Huang ; Delin, Luo ; Sifeng, Liu
Author_Institution :
Xiamen Univ., Xiamen
fYear :
2007
fDate :
18-20 Nov. 2007
Firstpage :
903
Lastpage :
909
Abstract :
Combining the methods of rough set theory and grey system theory and by introducing the grey number concept, the conventional incomplete information system method is extended and a kind of (alpha, beta)-grey similarity relation GSIM(alpha, beta) of grey information system is proposed, then the model of grey rough set based on the (alpha, beta)-grey similarity relation is established and investigation is made in the related foundational theories. Methods are proposed to describe the positive, boundary and negative regions and the reduction of grey decision-making table in the grey rough set by the recognition degree mode of grey theory, and a solution to the problem of incoherence is brought forward in the grey decision-making table from the angle of recognition degree mode. Example shows that this kind of model is more intuitive and rational. It breaks through the limitation of the study on conventional rough set theory which is restricted to the classic relations.
Keywords :
decision making; grey systems; rough set theory; grey decision making table; grey number concept; grey similarity relation; grey system theory; incomplete information system; rough set theory; Control engineering education; Control systems; Data mining; Decision making; Information systems; Intelligent systems; Measurement errors; Set theory; Technological innovation; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
Type :
conf
DOI :
10.1109/GSIS.2007.4443404
Filename :
4443404
Link To Document :
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