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
parameterizations factor during the process as compared to fuzzy and intuitionistic fuzzy set theory.
In the present manuscript, the work has been done under the intuitionistic fuzzy soft sets (IFSSs)
environment and proposed some new averaging/geometric prioritized aggregation operators in which
the preferences related to attributes are taken in form of IFSSs. Desirable properties of its have also
been investigated. Furthermore, based on these operators, an approach to investigate the multi-
criteria decision making (MCDM) problem has been presented. The eectiveness of these operators
has been demonstrated through a case study.