Rough set-based ANFIS control strategies

Recent advances in control engineering suggest that hybrid control strategy, integrating some ideas and paradigms existing in different soft computing techniques, Combining with characteristics of rough set and advantage of adaptive Neuro-Fuzzy inference system(ANFIS). This paper presents an innovative hybrid control strategy leading to integrate the distinct aspects of indiscernibility capability of rough set theory and search capability of adaptive neural-fuzzy control strategies. that is rough set-based ANFIS(RSANFIS) control strategy. Control experiences show that comparing with tradition neuro-fuzzy control,the RSANFIS control strategy which apply rough set to ANFIS control can produce better permance in terms of operating cost, control stability, and save time in rule extraction simultaneously.