Neutrosophic MCDM Methodology for Risk Assessment of Autonomous Underwater Vehicles

Abstract

Due to its usefulness in several industries and the military, researchers have concentrated on developing autonomous underwater vehicles (AUVs). However, AUV navigation continues to be a difficult challenge to solve owing to the variety of underwater settings. The usage of AUVs, or autonomous underwater vehicles, is not without dangers like malfunction, ecological risks, loss of communications, cybersecurity risks, collisions, and others. There are many criteria to assess these risks technical, operational, economic, and regulatory. So, the methods of multi-criteria decision-making (MCDM) is used to deal with these various criteria. The analytical hierarchy process (AHP) method is an MCDM methodology, that can be used to compute the weights of criteria. The AHP is integrated with the single-valued neutrosophic set (SVNS) to deal with uncertain data in the assessment process. The risks of AUVs are ranked after computing the weights of the criteria. The results show that malfunctions are the highest risk.