neuro- fuzzy statistical process control

controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. one of the common approaches for process control is applying shewhart's quality control charts. neuro-fuzzy networks, as one of the branches of artificial intelligence (ai), can play an effective role in the enforcement of process control's common approaches. in this paper, through applying anfis, two patterns of trend and areas of out of control limits are discussed. the final obtained results show that through applying this approach, one can considerably increase the degree of certainty of quality control systems, particularly in quality control charts domain.