Robust aggregation operators for multi-criteria decision-making with intuitionistic fuzzy soft set environment

Abstract

Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding a parameterized factor during the process unlike fuzzy as well as intuitionistic fuzzy set theory. In this manuscript, an attempt has been made to compare two Intuitionistic Fuzzy Soft Numbers (IFSNs) and then weighted averaging and geometric aggregation operators for aggregating the different input arguments have been presented. Further, their various properties have been established. The effectiveness of these operators has been demonstrated through a case study.