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 Weig...

This paper presents a novel approach to identify the prediction interval associated with data using type-2 fuzzy logic systems support vector regression. For such purpose, constrained quadratic objective function is defined which then solved well-established programming approaches. Not only does output of system replicates measured value, but also it provides lower bound and upper for values. I...