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 aparameterizations 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 whichthe 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 multi-criteria decision making (MCDM) problem has been presented. The e ectiveness of these operatorshas been demonstrated through a case study.

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