Study onaCombined DemandForecasting ModeloftheSupply Chain
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Thispaper presents acombined forecasting modelforuncertain demands based onRoughSet(RS)andRadical Basic Function (RBF)network. First, RBFnetwork isintroduced toworkonthehistorical dataandextrapolate future demands. Thenattributes reduction oftheRSisapplied toanalyze thedatasheet anddrawthekernel index setfromit. Theforecasting results areobtained withacombination oftheabove twomethods. Thecombined modelistested with real historical data collected fromalarge firmintheautomobile industry, anditproduces moreprecise results thanthe RBFmodel.
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