The prevailing structures like intuitionistic fuzzy sets, Pythagorean fuzzy sets and m-polar
fuzzy sets etc. have their own deficiencies and limitations. There are many real life situations …

The main objective of this study is to identify the green suppliers that would most effectively
assist manufacturing producers in implementing green manufacturing production while …

q-Rung orthopair fuzzy set (qROFS) and m-polar fuzzy set (mPFS) are rudimentary concepts
in the computational intelligence, which have diverse applications in fuzzy modeling and …

Higher-order fuzzy decision-making methods have become powerful tools to support
decision-makers in solving their problems effectively by reflecting uncertainty in calculations …

The objective of the present work is divided into two folds. Firstly, Pythagorean fuzzy Einstein
hybrid geometric operator has been introduced along with their properties, namely …

We face many situations in day to day life where multi-polar statistics is offered. The
prevailing models like Pythagorean fuzzy sets and m-polar fuzzy sets become inoperable in …

The focus of our paper is to introduce a series of Einstein operators such as, interval-valued
Pythagorean fuzzy Einstein-weighted geometric (abbreviated as IVPFEWG) operator …

Pythagorean fuzzy set (PFS) is one of the prosperous extensions of the intuitionistic fuzzy set
(IFS) for handling the fuzziness and uncertainties in the data. Under this environment, in this …

The primary goal of this research is to determine the optimal agricultural field selection that
would most effectively support manufacturing producers in manufacturing production while …

The advantages of the intuitionistic fuzzy set, Pythagorean fuzzy set, and q-rung orthopair
fuzzy set are all carried over into the linear Diophantine fuzzy set by extending the …