Publikationen in Zusammenarbeit mit Forschern von University of Macau (9)

2022

  1. Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 17-64

  2. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 83-102

  3. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 103-139

  4. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 65-81

2021

  1. A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision Making

    IEEE Transactions on Cybernetics, Vol. 51, Núm. 10, pp. 4784-4795

  2. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak

    Applied Intelligence, Vol. 51, Núm. 7, pp. 4162-4198

  3. Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink

    Physical Biology, Vol. 18, Núm. 4

  4. Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, Núm. 1, pp. 5-21

2020

  1. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

    Applied Soft Computing Journal, Vol. 93