Title :
Study of attribute resolution stage´s reduce arithmetic
Author :
Qiu-na Zhang ; Jun-hong Ma ; Ai-min Yang ; Xin-Chun Wang ; Hong-ji Zhang
Author_Institution :
Coll. of Light Ind., Hebei Polytech. Univ., Tangshan, China
Abstract :
So far, Rough Set Theory has already become the focus-studied in international artificial intelligence. This thesis is based on Rough Set Theory, which has the following innovation. It gives a new kind of arithmetic of attribute reduction, that is to say, making use of attribute resolution stage through truth which indicates this reduction is an effective reduction.
Keywords :
artificial intelligence; decision support systems; rough set theory; arithmetic reduction; artificial intelligence; attribute resolution stage; decision table; rough set theory; Arithmetic; Artificial intelligence; Data mining; Educational institutions; Humans; Lattices; Mathematics; Rough sets; Set theory; Uncertainty; Rough Set Theory; attribute resolution stage; core; reduce;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413088
