Purpose This study attempts to develop a practical understanding of the positive and
negative employee experiences due to artificial intelligence (AI) adoption and the creation of …

The q-rung orthopair fuzzy set (q-ROFS), initiated by Yager, is a novel tool to dispose of
indeterminacy that considers the membership μ μ and non-membership ν ν, which satisfy the …

Location selection of electric vehicle charging stations (LSEVCS) is a complex multi-attribute
group decision-making (MAGDM) problem involving multiple experts and multiple conflicting …

This paper proposes an integrated decision-making framework for the systematic selection
of a renewable energy source (RES) from a set of RESs based on sustainability attributes. A …

Electric vehicles (EVs) could be regarded as one of the most innovative and high
technologies all over the world to cope with the fossil fuel energy resource crisis and …

The q‐rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …

Entropy measure (EM) and similarity measure (SM) are important techniques in the
environment of fuzzy set (FS) theory to resolve the similarity between two objects. The q …

In decision-making problems, q-rung orthopair fuzzy sets are considered as a more effective
tool than intuitionistic fuzzy sets and Pythagorean fuzzy sets. This article develops some …

Extended q-rung orthopair fuzzy sets (q-ROFSs) is an excellent tool to depict the qualitative
assessing information in multiple attribute group decision making (MAGDM) environments …

Aggregation operators are useful tools for approaching situations in the realm of
multiattribute decision‐making (MADM). Among the most valuable aggregation strategies …