Abstract:
In the face of a complex underwater environment with multiple threat sources, making accurate and effective decisions on the demagnetization strategy set is crucial for e...View moreMetadata
Abstract:
In the face of a complex underwater environment with multiple threat sources, making accurate and effective decisions on the demagnetization strategy set is crucial for enhancing the magnetic field signature concealment and navigation safety of underwater vehicles. In this study, finite element analysis models and multiobjective optimization algorithms were combined to construct a selectable demagnetization strategy set. Subsequently, to address the limitations of poor scalability and flexibility in simple additive weighting (SAW), as well as the lack of normativity and orderliness in traditional gray relational analysis (GRA), technique for order of preference by similarity to ideal solution (TOPSIS) concept was introduced to enhance the GRA method. Finally, the TOPSIS-GRA method was validated and compared with SAW and GRA through simulation experiments. The results demonstrate that the TOPSIS-GRA method can better balance the influence of data correlation and weights, thereby improving the accuracy and stability of demagnetization strategy decisions.
Published in: IEEE Transactions on Instrumentation and Measurement ( Volume: 73)