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28 August 2024 Research on railway artificial intelligence competition evaluation system based on AHP-entropy weight-TOPSIS
Bo Hou, Guohua Li, Mingrui Dai, Qing Wang
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Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325130 (2024) https://doi.org/10.1117/12.3039521
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
The railway artificial intelligence competition is an important way to promote the innovation and application development of railway artificial intelligence technology. The innovation, advanced, independent and application of railway artificial intelligence technology can be effectively promoted by holding the competition. In this process, it is very important to establish the evaluation criteria and theoretical methods for the algorithm, the outcome plan and the team performance. In this paper, a scientific evaluation mechanism is designed for the process of railway artificial intelligence competition, and a multi-dimensional comprehensive evaluation index system is established. Using multi-criteria decision making theory, a comprehensive evaluation model of competition results based on AHP-entropy weight-TOPSIS (technique for order preference by similarity to ideal solution optimization) method is constructed, and the process design is implemented based on the railway artificial intelligence competition platform to screen out excellent teams. Finally, through the application case analysis, it is proved that the evaluation body of this paper can effectively evaluate the performance of the railway artificial intelligence competition team, and the calculation results are consistent with the actual situation. The research results can provide technical reference and theoretical support for the evaluation of the results of the subsequent railway artificial intelligence competition.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Bo Hou, Guohua Li, Mingrui Dai, and Qing Wang "Research on railway artificial intelligence competition evaluation system based on AHP-entropy weight-TOPSIS", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325130 (28 August 2024); https://doi.org/10.1117/12.3039521
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KEYWORDS
Artificial intelligence
Data modeling
Performance modeling
Analytics
Matrices
Defense and security
Intelligence systems
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