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Does Interval Knowledge Sharpen Forecasting Models? Evidence from China's Typical Ports., , , , and . Int. J. Inf. Technol. Decis. Mak., 17 (2): 467-484 (2018)Forecasting container throughput of Qingdao port with a hybrid model., , , and . J. Syst. Sci. Complex., 28 (1): 105-121 (2015)Intelligent Knowledge Beyond Data Mining: Influences of Habitual Domains., , , , and . Commun. Assoc. Inf. Syst., (2014)Optimal stock and capital reserve policies for emergency medical supplies against epidemic outbreaks., , , , and . Eur. J. Oper. Res., 304 (1): 183-191 (2023)Forecasting Container Throughputs with Domain Knowledge., , and . ITQM, volume 31 of Procedia Computer Science, page 648-655. Elsevier, (2014)Applying interval knowledge to facilitate seaport container throughput volume forecasting., , , , and . LISS, page 1-6. IEEE, (2016)A Partially Combined Framework: Forecasting Container Throughput with Big Data., , , , and . Int. J. Comput. Sci. Appl., 13 (1): 105-115 (2016)An Interval Knowledge Based Forecasting Paradigm for Container Throughput Prediction., , , , and . ITQM, volume 55 of Procedia Computer Science, page 1381-1389. Elsevier, (2015)A New Approach to Forecasting Container Throughput of Guangzhou Port with Domain Knowledge., , and . IJKSS, 4 (3): 70-88 (2013)A Combined Forecast Method Integrating Contextual Knowledge., , and . IJKSS, 2 (4): 39-53 (2011)