Interval Valued Intuitionistic Fuzzy Investment Analysis: Application to CNC Lathe Selection

Abstract

Abstract Incomplete and vague data can be successfully handled by the fuzzy set theory. Recently, the extensions of ordinary fuzzy sets have been extensively used in the literature because of their advantages. In this paper, we develop interval-valued intuitionistic fuzzy present worth analysis for the evaluation of CNC (computer numerical control) lathe investments. The developed analyses can handle the assessments of multiple experts through aggregation operators. A case study is also presented in this paper.