Title :
Optimal decision rules based on inclusion degree theory
Author :
Mi, Ju-Sheng ; Zhang, Wen-xiu ; Wu, Wei-Zhi
Author_Institution :
Fac. of Sci., Xi´´an Jiaotong Univ., China
Abstract :
The purpose of the paper is to establish knowledge reductions in inconsistent decision tables. Based on rough set theory, the concepts of upper and lower approximation reductions are introduced. Their relationships are investigated. With the theory of inclusion degree, the maximum distribution reduction and the optimal maximum distribution rules are also presented, which are more useful in making brief decision rules from inconsistent information systems. Then a new knowledge discovery approach is established.
Keywords :
data mining; decision making; equivalence classes; rough set theory; approximation reductions; brief decision rules; inclusion degree theory; inconsistent decision tables; inconsistent information systems; knowledge discovery; knowledge reductions; maximum distribution reduction; optimal decision rules; optimal maximum distribution rules; rough set theory; Cybernetics; Information science; Information systems; Knowledge representation; Machine learning; Mathematics; Noise reduction; Oceans; Reflection; Set theory;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167395
