DocumentCode :
3125502
Title :
Hierarchical reduction approach of the rough sets theory and its basis on the information theory
Author :
Bin, Qiao ; Yu-rong, Li ; Jiang Jing-ping
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
From the point of view of practical application, a hierarchical reduction approach of rough sets theory is proposed. In this approach, according to the acquisition mode, cost and real time requirement, the attributes are classified in different parts allocated to several layers. So the knowledge in information systems or decision systems can be presented hierarchically with multiple granularities in multiple layers. The reduction can be applied hierarchically to parts of attributes allocated to each layer. The basis of this approach is proved from information theory. Furthermore, the properties of the approach are discussed, such as practicability, rapidity and dynamic performance. Finally, the hierarchical reduction approach shows its validity in acquiring the control decision of a cement kiln.
Keywords :
cement industry; decision theory; hierarchical systems; information theory; problem solving; rough set theory; acquisition mode; attribute classification; cement kiln; control decision; decision systems; dynamic performance; hierarchical reduction approach; information theory; multiple granularities; practicability; problem solving; real time requirement; rough sets theory; Control systems; Costs; Genetic algorithms; Genetic communication; Information analysis; Information systems; Information theory; Neural networks; Pattern analysis; Rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175675
Filename :
1175675
Link To Document :
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