Analysis of effectiveness evaluation of unmanned platform cluster operations

Xuefeng Peng; Jiasheng Liu; Zongmiao Dai

doi:10.1117/12.3025494

28 February 2024 Analysis of effectiveness evaluation of unmanned platform cluster operations

Xuefeng Peng, Jiasheng Liu, Zongmiao Dai

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307142 (2024) https://doi.org/10.1117/12.3025494
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

In the field of unmanned platform operations, the evaluation and analysis of the efficiency of unmanned platform cluster operations is a technical bottleneck. This article conducts an evaluation and analysis of the efficiency of unmanned platform cluster operations, using qualitative knowledge reasoning methods based on fuzzy reasoning and cloud models to evaluate the efficiency of operations. The evaluation results show that this evaluation method can achieve uncertainty conversion between qualitative concepts and quantitative values, It can better express the uncertainty of data and expert knowledge in target performance evaluation, and through multiple optimization reasoning, the impact of uncertainty in target information on performance evaluation values can be eliminated, effectively improving the judgment ability of cluster operations and laying the foundation for the application of unmanned equipment cluster collaborative operations in future operations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuefeng Peng, Jiasheng Liu, and Zongmiao Dai "Analysis of effectiveness evaluation of unmanned platform cluster operations", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307142 (28 February 2024); https://doi.org/10.1117/12.3025494

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