Evaluation of Decision Rules Performance for Multi-source Decision Information Systems
LIN Guo-Ping1,2,3, LIANG Ji-Ye1,2, LI Jin-Jin3
1.School of Computer and Information Technology, Shanxi University, Taiyuan 030006 2.Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan 030006 3.School of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000
Abstract The multigranulation rough set theory is proved to be an effective method for extracting decision rules from the multi-source decision information systems. However, how to evaluate the decision rules is one of the key problems to find reasonable and accurate decision rules and predict an unknown sample in terms of decision rules. In this paper, according to the disadvantage of the existing evaluation measures of rule performance, the whole certainty measure, the whole consistency measure, and the whole support measure are proposed. These evaluation measures will be helpful for the solution of some decision problems.
LIN Guo-Ping,LIANG Ji-Ye,LI Jin-Jin. Evaluation of Decision Rules Performance for Multi-source Decision Information Systems[J]. , 2015, 28(7): 657-664.
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2015, Vol. 28 
