Modeling analysis for the temperature system using rough sets

The knowledge reduction algorithm of rough sets (RS) theory is employed to qualitatively analyze the main working condition factors, which influence the model parameters of a superheated steam temperature system in modeling. After reduction, the data that reduced from 19 to 4 clearly shows the relationship between the factors and the parameters. Then, a different classification method was used to classify the decision attributes, and the result shows that different attribute classifications will simplify the problem but not change the property of the problem.