文章基本信息

标题：A New Algorithm about Market Demand Prediction of Automobile
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作者：Zhiming Zhu ; Tao Chen ; Tianmiao Shen 等
期刊名称：International Journal of Marketing Studies
印刷版ISSN：1918-719X
电子版ISSN：1918-7203
出版年度：2014
卷号：6
期号：4
页码：100
DOI：10.5539/ijms.v6n4p100
出版社：Canadian Center of Science and Education
摘要：An extensive evaluation hierarchy model of automobile short-term demand was established to prevent thedisadvantages of previous models mainly for single time series. The definition of extensive correlationevaluation was proposed, and then the method was discussed to reflect the correlation of factors on automobiledemand. Utilizing extensive skills, factors and sub-factors were represented as correlation eigenmatrix whichcould ensure the level of each factor’s influences on automobile demand. Then short-term historical data waspredicted while it was compared with existing data, the results show that the predictive error is less than 6%,which confirms the validation of predictive model. This study provides the foundations for government’smacroeconomic control and automobile manufacturers’ production.