prioritized averaging/geometric aggregation operators under the intuitionistic fuzzy soft set environment

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 alsobeen investigated. furthermore, based on these operators, an approach to investigate the multicriteria decision making (mcdm) problem has been presented. the effctiveness of these operatorsh as been demonstrated through a case study.