Picture fuzzy sets (PFSs) are frequently composed of positive, neutral, and negative
memberships and have the benefit of precisely capturing the preferences of decision makers …

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 …

Abstract Internet-of-things (IoT) is a fast-growing technology and sustainable transportation
is a crucial application area of IoTs. Selecting an appropriate IoT service provider (IoTSP) is …

Over the last five years, e-scooters have gradually become commonplace in most urban
areas. However, shortcomings in infrastructure provision, especially with parking, make it …

In decision-making scenarios, challenges often arise from closely knitted criteria or inherent
uncertainties. Such uncertainties prominently pervade the realm of sustainable energy …

T-spherical fuzzy set (T-SFS) is emerged as one of the effective tools for dealing uncertainty
in decision-making process. Whereas, power aggregation operators help us in normalizing …

Sharing economy transportation applications reduce car ownership and single-vehicle
occupancy, contributing to the region's environmental sustainability. Metaverse is a …

The change from multi-attribute decision-making (MADM) to multi-attribute group decision-
making (MAGDM) has led to a doubling of data volume and a trend toward multi-attribute …

A spherical fuzzy set is one of the reliable tools to handle the uncertainties in the data with
the help of the three membership degrees: Positive, neutral, and negative. Under this …

This article presents a novel algorithm for autonomous parking vehicles (AVs). The idea is
driven by the fact that AVs are the face of the future, and for their sustenance, the …