Applications of Fermatean Uncertainty weighted Average Accumulation operator to Multiple attribute group Decision Making

Abstract

In this article, fermatean uncertainty weighted Averaging Aggregation operator has been studied along their several properties namely impotency, boundedness and monotonicity. Secondly we applied this proposed operator to deal with multiple attribute group decision making problem under fermatean uncertainty information. Finally, we constructed an algorithm for multiple attribute group decision making problems with suitable example.

Introduction: Xu demonstrated several operators such as intuitionist uncertainty weighted averaging (IFWA), intuitionist uncertainty ordered weighted averaging (IFOWA) and intuitionist uncertainty hybrid Averaging (IFHA) operators. Xu and Yager explored geometric addition operators such as intuitionistic uncertainty weighted geometric (IFWG) operator, intuitionist uncertainty hybrid geometric (IFWG) operators. They also applied them to multiple alternate group decision making (MAGDH) based on intuitionist fuzzy set (IFS). The advantage of the aggregation operators in this work, we familiarize the noted of (3, 2) Uncertainty weighted averaging aggregation of operator and also discuss some of their basic properties.

Conclusions: The main advantage of using the proposed method and operator is that this method provides more general, accurate and precise results. Therefore, the suggested methodology can be used for any type of selection problem involving any number of selection attributes. This method plays a vital role in real world situations. We ended the paper with an application of fermatean uncertainty decision making problem. In future, some author may develop this gives operators in various fuzzy Environment.