enetic Rough set-based acquisition of decision rules method
Qian Du · Microcomputer Information · 2010
According to requires of marine power system fault diagnosis, the paper presents a new fault diagnosis method based on rough sets. By analyzing the fault parameters of marine power stations from muti-sensor fusion based on rough sets, we established fault diagnosis knowledge base. A crowding strategy that could ensure the diversity of samples in genetic iterative has been put forward for the large database with high dimension, and attributes reduction of the information system was accomplished through genetic algorithm and this strategy. According to the property that if there is single element in a certain line in the matrix come from the intersection of recognition matrix and reductive attributes, then it is the core attributes of this rule, core attributes of this rule could be gotten effectively, and use the consistent rule to generalize this reduction. It starts from decision rules itself, design the algorithm with consistency of rules, accomplish attributes reduction and attributes value reduction of the decision table. Feasibility of this method was proved by the emulation experiment.