DocumentCode :
620126
Title :
Lattice description of approximation space
Author :
Lishi Zhang
Author_Institution :
Sch. of Sci., Dalian Ocean Univ., Dalian, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
2475
Lastpage :
2478
Abstract :
Knowledge reduction is one of the main problems in rough sets theory. The attribute reduction algorithms of decision table based on discernible matrix are required to construct discernible matrix, which is the core of the algorithms,the process is associated with the intersection of sets and discernibility function computing, in this paper, the system is equipped with a lattice structure, the operations on the decision table are transmitted into lattice operation, in this frame, we pave a way to explore the attribute reduction with lattice approaches.
Keywords :
data mining; decision tables; functional programming; lattice theory; rough set theory; approximation space; attribute reduction algorithm; decision table; discernibility function computing; discernible matrix; knowledge discovery; knowledge reduction; lattice description; lattice operation; lattice structure; rough set theory; Approximation algorithms; Approximation methods; Educational institutions; Information systems; Knowledge based systems; Lattices; Rough sets; Approximation Space; Decision Table; Indiscernibility Matrix; Information System; Reduction of Attribute;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561355
Filename :
6561355
Link To Document :
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