A Hybrid Three-staged SF-AHP, PLS-SEM and ANN Model to Predict Vaccination Intention against COVID-19 Pandemic

Spherical Fuzzy Analytic Hierarchy Process (SF-AHP), Structural Equation Model (SEM), and Artificial Neural Network (ANN) approaches were applied to test the proposed hypotheses and predict the vaccination intention球面模糊层次分析法（Spherical Fuzzy Analytic Hierarchy Process，SF-AHP）、结构方程模型（Structural Equation Model，SEM）以及人工神经网络（Artificial Neural Network，ANN）被应用于检验所提出的研究假设，并预测疫苗接种意愿。