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ISCI
2008
84views more  ISCI 2008»
13 years 5 months ago
Measures for evaluating the decision performance of a decision table in rough set theory
As two classical measures, approximation accuracy and consistency degree can be employed to evaluate the decision performance of a decision table. However, these two measures cann...
Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chu...
FSS
2008
113views more  FSS 2008»
13 years 5 months ago
Consistency measure, inclusion degree and fuzzy measure in decision tables
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
Yuhua Qian, Jiye Liang, Chuangyin Dang
DKE
2008
57views more  DKE 2008»
13 years 5 months ago
On the evaluation of the decision performance of an incomplete decision table
As two classical measures, approximation accuracy and consistency degree can be extended for evaluating the decision performance of an incomplete decision table. However, when the...
Yuhua Qian, Chuangyin Dang, Jiye Liang, Haiyun Zha...
ISCI
2008
181views more  ISCI 2008»
13 years 5 months ago
Attribute reduction in decision-theoretic rough set models
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
Yiyu Yao, Yan Zhao
PREMI
2007
Springer
13 years 11 months ago
Rough Set Theory of Pattern Classification in the Brain
Humans effortlessly classify and recognize complex patterns even if their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual ...
Andrzej W. Przybyszewski