Decomposition Approach in Incomplete Data System Based on Rough Sets
Jian Chen · 2007
In order to extract rules from incomplete data system without information distortion,a decomposition approach in incomplete data system is proposed.The template is selected according to rough sets based template evaluating function,by which subset without missing values can be extracted from incomplete data step by step.The intermediate concept is developed based on rough set theory,with which the incomplete information system can be decomposed to simplify the rule set.The rule set obtained in this approach can make layered decision analysis more efficient.A real-world example of fault diagnosis on steam turbine is presented to illustrate the decomposition process,and the feasibility of this method in dealing with the incomplete data has been verified.