Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart

Abstract Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking measurement production process. While fuzzy approach helps to tackle ambiguity that arises measurement, an interval type-2 set deals such uncertainty better due its flexibility over control limits chart. This paper aims develop Interval Type-2 Exponentially Weighted Moving Average Control Chart (IT2FEWMA) under condition. development will facilitate monitoring small and moderate shifts process conditions uncertainty.