Neutrosophic Sets and Systems
Abstract
Over recent decades unmanned aerial vehicles (UAVs) have significantly impacted many areas and applications that affect our daily lives. Such as transportation, healthcare, and agricultural surveillance and management. Along with intelligently digitizing these sectors. Hence, this study focuses on exhibiting UAVs' contributions to transportation systems to be smart. An intelligent decision-maker framework is constructed to evaluate smart transportation systems (STSs) that leverage UAVSs in their operations. Preferencing candidates of STSs conduct the evaluation process based on a set of criteria and attributes. Moreover, the new multi-criteria decision-making (MCDM) of centroidous to obtain criteria attribute weights. As well as Multi-objective optimization on the basis of simple ratio analysis (Moosra) leverages the generated weights to rank STSs and recommend optimal STS. These MCDM techniques collaborated with the uncertainty theory of Single Value Neutrosophic Sets (SVNSs) to enhance decisions in ambiguous situations. Along with Moosra-SVNSs are integrating in the ranking process under the dominance of SuperHyperSoft (SHS) environment which depends on a set of hypersoftsets formed into a set of possibilities. Hence, we applied six possibilities in our constructed framework.
Recommended Citation
Mohamed, Mona; Ahmed M. AbdelMouty; Khalid Mohamed; and Florentin Smarandache. ", SuperHyperSoft-Driven Evaluation of Smart Transportation in Centroidous-Moosra: Real-World Insights for the UAV Era." Neutrosophic Sets and Systems 78, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol78/iss1/9
