Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 12, 2025
Unmanned aerial vehicles (UAVs) have gained widespread attention in recent years due to their expanding applications across various industrial sectors. Selecting the most suitable UAV for a given task is critical decision-making challenge, which typically modeled as multi-criteria (MCDM) problem. However, expert assessments such selection processes often involve considerable uncertainty and hesitation. To address this, this paper proposes novel integrated MCDM framework that combines dual hesitant fuzzy sets (DHFSs), best-worst method (BWM), MULTIMOORA evaluate rank alternatives. In proposed method, DHFSs are employed capture both membership non-membership degrees of under uncertainty, while weights objectively determined based on entropy assessments. Criteria then calculated using an extended BWM. Subsequently, into environment, where alternatives evaluated from three perspectives: ratio system, reference point approach, full multiplicative form, evaluation results aggregated generate comprehensive reliable final ranking. demonstrate practicality effectiveness case study power line inspection presented. The show approach effectively handles produces stable consistent rankings, offers decision support uncertain conditions. provides flexible systematic tool can assist decision-makers solving problems complex, real-world scenarios.
Language: Английский