Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …

A mathematical technique called data envelope analysis is used to determine the relative
efficiency of decision-making units (DMU) with numerous inputs and outputs. Compared to …

The optimal location of electric vehicle charging station (EVCS) will promote the rapid
development of the electric vehicle (EV) industry. Generally, EVCS location selection is …

The automotive industry is one of the most competitive sectors, and it requires a well-
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …

The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …

In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The
proposed score function of FFNs can conquer the drawbacks of the existing score function of …

The most straightforward approaches to checking the degrees of similarity and differentiation
between two sets are to use distance and cosine similarity metrics. The cosine of the angle …

The multiple attribute decision‐making models are empowered with the support of fuzzy sets
such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also …

The critical worldwide problem of adapting urban transport planning to COVID-19 is for the
first time comprehensively addressed and solved in this study. It primarily aims to help …

In this paper, we develop a novel multiattribute decision making (MADM) approach based
on Fermatean hesitant fuzzy sets (FHFSs) and the modified VIKOR method. Firstly, we …