Fault Prediction of Decision System: A Rough Set Approach
Darong Huang, Darong Huang · Jisuanji fangzhen · 2006
Based on the basic theories of rough set and expert system, the real-time control problem of working fault for decision system is researched. First of all, after establishing the value-range for each state-variable of system and assigning to them in terms of the historical observable value of system states of decision system, we have defined and analyzed the parameter structure of the data matrix and dependence-degree and value-measure of system states. Secondly, based on the defined deleting or retaining award theory of system state-variable and using the state-variable dependence-degree constraint values got by adding-power algorithm, some control rules of working fault of decision system are deduced. Then using real-time observable data on-line and these aries, a sequential graph of FP is designed. Finally, the working principle of real-time control for fault of decision system is presented. The theory analysis indicates that the designed project is effectively.