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- W2120422870 abstract "Forecasting the volume of foreign trade is important to policy formulation for local governments. This study proposes a machine-learning algorithm as a forecasting tool that is based on Rough sets and Shannon entropy. This study uses historical data from a large municipal to examine the proposed forecasting tool. The results suggest that this tool can be useful in specific trade decisions with unique characteristics and requirements." @default.
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- W2120422870 date "2011-04-01" @default.
- W2120422870 modified "2023-10-16" @default.
- W2120422870 title "A Hybrid Model of Rough Sets and Shannon Entropy for Building a Foreign Trade Forecasting System" @default.
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- W2120422870 doi "https://doi.org/10.1109/cso.2011.33" @default.
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