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 Fermatean fuzzy set has been authorized as a suitable tool for the uncertainty and
vagueness of information by augmenting the spatial space of acceptance membership and …

Electric vehicles (EVs) are recognized as one of the most promising technologies worldwide
to address the fossil fuel energy resource crisis and environmental pollution. As the initial …

Purpose: Since the pollution from the transportation sector has become intolerable in urban
areas, many authorities are beginning to ban vehicles powered by fossil fuels. In this …

Optimal siting of electric vehicle charging stations (EVCSs) is crucial to the sustainable
development of electric vehicle systems. Considering the defects of previous heuristic …

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

Site selection for electric vehicle charging stations (EVCSs) is the process of determining the
most suitable location among alternatives for the construction of charging facilities for …

Electric vehicles (EVs), as an efficient and environmentally friendly method for reducing
fossil fuel use and air pollution, are becoming more popular as governments seek to …

Electric vehicle charging station (EVCS) site selection occupies a prominent position in the
development of the electric community to solve the hard problem of Electric Vehicle (EV) …

As a generalization of the Fermatean fuzzy set, the theory of interval-valued Fermatean fuzzy
set (IVFFS) is a more robust and reliable tool to address the imprecise and incomplete …