Attribute Reduction Based on Rough Set Theory in Decision Making System
Yongxiang Guo
Abstract
Yongxiang Guo
Abstract
Basic concept of rough set theory is presented,including equivalent relationship and conditional information quantity.The principle of attribute reduction is introduced,and the reduction of attribute is presented based on conditional information quantity,all serviceable logging attributes are optimally selected.The actual application shows that the method is feasible and effective.
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Basic concept of rough set theory is presented,including equivalent relationship and conditional information quantity.The principle of attribute reduction is introduced,and the reduction of attribute is presented based on conditional information quantity,all serviceable logging attributes are optimally selected.The actual application shows that the method is feasible and effective.
Key concepts: Rough set, Reduction (mathematics), Set (abstract data type), Data mining, Set theory, Mathematics, Decision rule, Computer science