Multi-model modeling method based on satisfactory clustering
基于满意聚类的多模型建模方法

First of all, from input-output data set, a satisfactory clustering algorithm based on GK fuzzy clustering was presented. Using this algorithm, a system could be quickly divided into multiple optimal fuzzy parts. Then the algorithm was used in multi-model modeling process. Satisfactory cluster number corresponded to the optimal number of sub-systems. For multiple clusters, multiple models could then be built, and the global system was described as their certain combination. Finally, examples are given to prove the effectiveness of the method.