Interval-valued intuitionistic uncertain linguistic information-based TOPSIS method for multi-criteria group decision-making problems

Abstract

An interval-valued intuitionistic uncertain linguistic set (IVIULS) combines the ambiguity, fuzziness as well as indeterminacy in real-life predicaments due to intricacy of subjective nature of human thoughts and easily express fuzzy information. Technique for order preference by similarity to an ideal solution (TOPSIS) is one of the eminent traditional distance measure-based approach for multi-criteria group decision-making (MCGDM) problems and having widespread applications. This study aims to develop TOPSIS method for MCGDM problems under IVIUL environment. Firstly, some basic operational laws and aggregation operators of IVIULS are discussed. A novel distance measure of IVIULEs is also investigated. An illustrative example of evaluation problem is also taken to clarify developed methodology and to reveal its efficiency with comparative analysis of proposed method.