HiCEFS — A hierarchical coevolutionary approach for the dynamic generation of fuzzy system

A novel hierarchical coevolutionary approach called HiCEFS for the dynamic generation of a fuzzy system from data is presented. This paper is focused on using the proposed hierarchical coevolutionary approach to generate a form of generic membership function (MF) called Irregular Shaped Membership Function (ISMF). This approach divides the ISMFs generation task into several subtasks of finding ISMFs for each input, which are co-evolved in separate genetic populations. The approach is able automatically allocate proper number of accurate ISMFs to fully represent the data distribution. Experimental results show that the fuzzy systems adopting the ISMFs generated by the proposed approach generally outperform those derived by the previous work both in accuracy and structure compactness and compare favorably against other well known systems.