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Liu, B., Wang, B., Shen, Y.*, Pedrycz, W. and Chen, Y., 2024. Granular fuzzy rule-based models construction under the collaboration of multiple organizations. Applied Soft Computing. 152, 111191.,2024
Shen, Y., Zhao D., Hu, X.*, Pedrycz, W., Chen, Y., Li., J. and Xiao, Z., 2024. Structure identification of missing data: a perspective from granular computing. Soft Computing.,2024
Li, L., Jiao, S., Shen, Y.*, Liu, B., Pedrycz, W., Chen, Y. and Tang, X., 2023. A two-stage consensus model for large-scale group decision-making considering dynamic social networks. Information Fusion, 100, 101972.,2023
Chen Y., Wang C., Du X., Shen, Y.*, and Liu, B., 2023. An agent-based simulation framework for developing the optimal rescue plan for older adults during the emergency evacuation. Simulation Modelling Practice and Theory, 128, 102797.,2023
Shen, Y., Pedrycz, W., Li, W., Xiao, Z., Chen, T., Hu, X.* and Chen, Y., 2023. Exploring the structure of IoT data: a symbolic analysis perspective. Wireless Communications and Mobile Computing, 2023.,2023
Hu, X., Shen, Y.*, Pedrycz, W., Li, Y. and Wu, G., 2022. Granular fuzzy rule-based modeling with incomplete data representation. IEEE Transactions on Cybernetics, 52(7), pp. 6420 - 6433.,2022
Liu, B., Zhu, W., Shen, Y.*, Chen, Y.*, Wang, T., Chen, F., Liu, M. and Zhou, S.-H., 2022. A study about return policies in the presence of consumer social learning. Production and Operations Management, 31, 2571–2587.,2022
Chen, Y., Liu, B., Shen, Y.* and Li, L., 2022. Assessing accessibility to service facilities for older people in age-restricted communities from the perspective of equity. Journal of Transport & Health, 27, 101515.,2022
Liu, B., Jiao, S., Shen, Y.*, Chen, Y., Wu, G., Chen, S., 2022. A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment. Information Fusion, 80, pp. 266-281.,2022
Hu, X., Shen, Y.*, Pedrycz, W., Wang, X., Gacek, A. and Liu, B., 2022. Identification of fuzzy rule-based models with collaborative fuzzy clustering. IEEE Transactions on Cybernetics, 52(7), pp. 6406 - 6419.,2022
Shen, Y., Pedrycz, W., Jin, X., Gacek, A., Wang, X. and Liu, B.*, 2021. Identification of fuzzy rule-based models with output space knowledge guidance. IEEE Transactions on Fuzzy Systems, 29(11), pp. 3504-3518.,2021
Shen, Y.*, Pedrycz, W., Chen, Y., Wang, X. and Gacek, A., 2020. Hyperplane division in Fuzzy C-Means: clustering big data. IEEE Transactions on Fuzzy Systems, 28(11), pp. 3032-3046.,2020
Shen, Y.*, Pedrycz, W. and Wang, X., 2019. Approximation of fuzzy sets by interval type-2 trapezoidal fuzzy sets. IEEE Transactions on Cybernetics, 50(11), pp. 4722-4734.,2019
Shen, Y.*, Pedrycz, W. and Wang, X., 2018. Clustering homogeneous granular data: formation and evaluation. IEEE Transactions on Cybernetics, 49(4), pp. 1391-1402.,2018
Shen, Y.* and Pedrycz, W., 2017. Collaborative fuzzy clustering algorithm: some refinements. International Journal of Approximate Reasoning, 86, pp. 41-61.,2017
Liu, B., Shen, Y.*, Chen, Y., Chen, X. and Wang, Y., 2015. A two-layer weight determination method for complex multi-attribute large-group decision-making experts in a linguistic environment. Information Fusion, 23, 156-165.,2015
Liu, B., Shen, Y.*, Chen, X., Chen, Y. and Wang, X., 2014. A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems. Information Fusion, 18, pp. 119-130.,2014
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