Paper Title
Interval Type-2 Fuzzy Replacement Analysis in Call Center Investment Replacement Decisions

Abstract
Professionals need to make replacement decisions if current asset can no longer meet actual needs, if a new technology occurs or if current asset has a fatal breakdown. Inevitably, replacement decisions are mostly made in an uncertain financial investment environment. In this paper, in order to cover this uncertainity and to get through the critics of ordinary fuzzy sets, a type-2 fuzzy replacement analysis technique is developed using trapezoidal interval type-2 fuzzy sets. The method developed is also applied to a numerical application of a replacement problem. A genralized graphical representation of trapezoidal interval type-2 fuzzy sets also presented for ease of decision makers. The result has came up explicit and considerable outputs showing that the technique developed can be used in replacement challenges. Keywords— Internal type-2 fuzzy sets, fuzzy replacement analysis, defuzzification, sensitivity analysis.