Journal of Electronic Science and Technology, Volume. 23, Issue 2, 100304(2025)
Layer-2 transferable belief model: Manage uncertainty on random permutation sets
[3] Zhao J., Cheong K.H., multi-attribute source estimator for epidemic transmission in complex networks MASE:, T. Syst. IEEE. Man. Cy.: S., 54, 3308-3320(2024).
[6] [6] D. Dubois, H. Prade, Possibility they in infmation fusion, in: Proc. of the Third Intl. Conf. on Infmation Fusion, Paris, France, 2000, pp. 53–76.
[7] [7] B. Solaiman, É. Bossé, Possibility They f the Design of Infmation Fusion Systems, Springer, Cham, Switzerl, 2019.
[9] Yang J.-B., Xu D.-L., Xu X.-B., Fu C., analysis of imperfect data Likelihood, T. Syst. IEEE. Man. Cy.: S., 53, 5046-5057(2023).
[10] [10] R.R. Yager, L.P. Liu, Classic Wks of the DempsterShafer They of Belief Functions, Springer, Berlin, Germany, 2008.
[18] Xiao F.-Y., a generalized evidential divergence measure for multisource information fusion GEJS:, T. Syst. IEEE. Man. Cy.: S., 53, 2246-2258(2023).
[20] [20] J. Zhao, K.H. Cheong, Enhanced epidemic control: communitybased observer placement source tracing, IEEE T. Syst., Man, Cy.: S. (2025) 1–12, doi: 10.1109TSMC.2024.3518560.
[23] Xiao F.-Y., Wen J.-H., Pedrycz W.. Generalized divergence-based decision making method with an application to pattern classification. IEEE T. Knowl. Data En., 35, 6941-6956(2023).
[24] Zhang Z.-W., Liu Z.-G., Ning L.-B., Martin A., Xiong J.-X.. Representation of imprecision in deep neural networks for image classification. IEEE T. Neur. Net. Lear., 36, 1199-1212(2023).
[28] Deng Y.. Random permutation set. Int. J. Comput. Commun., 17, 4542(2022).
Get Citation
Copy Citation Text
Qian-Li Zhou, Yong Deng. Layer-2 transferable belief model: Manage uncertainty on random permutation sets[J]. Journal of Electronic Science and Technology, 2025, 23(2): 100304
Category:
Received: Oct. 28, 2024
Accepted: Feb. 25, 2025
Published Online: Jun. 16, 2025
The Author Email: Yong Deng (dengentropy@uestc.edu.cn)