Electronics Optics & Control, Volume. 32, Issue 5, 35(2025)
A Multi-sensor Information Evaluation Fusion Algorithm Based on Information Entropy and TOPSIS
[6] [6] ZHOU T L, CHEN M, ZOU J. Reinforcement learning based data fusion method for multi-sensors[J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7(6): 1489-1497.
[8] [8] ZHOU T L, CHEN M, YANG C G, et al. Data fusion using Bayesian theory and reinforcement learning method[J]. Science China Information Sciences, 2020, 63(7): 122-124.
[9] [9] TIAN K S, ZHU G X. Sensor management based on Fisher information gain[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 531-534.
[10] [10] LI Y T, XIAO F Y. A novel dynamic weight allocation method for multisource information fusion[J]. International Journal of Intelligent Systems, 2021, 36(2): 736-756.
[11] [11] VELZQUEZ J M R, MAILLY F, NOUET P. Dynamic weighted average in multisensory systems[C]//2019 Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS (DTIP). Paris: IEEE, 2019. doi:10.1109/DTIP.2019.8752804.
[12] [12] LONG Z, ZHANG X F, ZHANG L, et al. Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information[J]. Measurement, 2021, 170: 108718.
[13] [13] LIU Q H, ZHOU W Q, ZHANG Y K, et al. Multi-target detection based on multi-sensor redundancy and dynamic weight distribution for driverless cars[C]//2021 International Conference on Communications, Information System and Computer Engineering (CISCE). Beijing: IEEE, 2021: 229-234.
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YAN Jiayi, ZHAO Baoqi, TANG Chen, PENG Xiuhui. A Multi-sensor Information Evaluation Fusion Algorithm Based on Information Entropy and TOPSIS[J]. Electronics Optics & Control, 2025, 32(5): 35
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Received: Mar. 27, 2024
Accepted: May. 13, 2025
Published Online: May. 13, 2025
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