FEWMA and Fuzzy Regression Model Control Chart one a-cut With Application

Abstract:
 In many real-world applications, the data to be used in a control charting method are not crisp since they approximated due environmental uncertainties, these situations, fuzzy numbers and linguistic variables grab such uncertainties. That is why use of chart, which used, justified. As an exponentially weighted moving average (EWMA) scheme usually detect small shifts, this paper EWMA (F-EWMA) chart proposed shifts process mean when available. well as The regression functional technique evaluate has trend represents or approximate value.
 paper, application logic statistical quality have been done by plotting Fuzzy linear model depending on suggested algorithm prepared for purpose, theoretical structure “a-level midrange a-cut -regression chart” triangular membership functions applying that chemical analysis water component, Total Dissolved Solid ( TDS) from KANY Factory means, contains three groups (TDS-a, TDS-b, TDS-c), 24 days each day containing 5 hour data, shown Table (1)
 comparison showed Control good more suitable, accuracy, sensitivity than traditional chart.