fuzzy based approach for monitoring p-control chart by means of α-level fuzzy midrange

The control chart is a graphical tool for monitoring the activities of a manufacturing process. it plays a vital role in statistical process control (spc). in traditional control charts many quality characteristics like appearance, softness, color, etc cannot be expressed in numerical scale. fuzzy set theory is an inevitable tool for fuzzy control charts as well as other applications subjected to uncertainty in any from. in this paper, we will used the α-cut p-control chart and the α-level fuzzy midrange of control limits fuzzy when the observations are trapezoidal fuzzy numbers.we are representing α-cut p-control limits of fuzzy decision , that shown in control or out of control of process p ̅ ̃ .illustrates applications are presented for control limits fuzzy of fraction and numbers non-conforming.