The design and simulation of fuzzy controller based on rough sets theory
Keming Xie, Zehua Chen, Gang Xie · 2005
How to effectively convert control experiences of the experts into fuzzy control rules has always been a hot spot in the design of fuzzy controller. Here a new algorithm to discover fuzzy rules directly from the observed data according to the experienced operators by means of rough sets, fuzzy sets and Rosetta software was put forward, the data indeed includes much valuable information about the control process and experts, and furthermore, lots of simulations have shown that the designed controller can take the place of the experts to carry out control task with good performance, the experimental results have shown its efficiency.