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

Document Type: Article


School of Mathematics, Thapar University Patiala 147004, Punjab, India


Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding a
parameterized factor during the process as compared to 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 di erent input arguments have been presented. Further, various properties of its have also been
established. The e ectiveness of these operators has been demonstrated through a case study


Main Subjects