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中文摘要：
针对传统人工预测流行色方法效率低、费用高的问题，采用决策表知识表达技术和模糊集合方法构建了流行色知识仓库，结合可辨识矩阵理论和粗集理论提出流行色预测知识挖掘算法，该算法可根据流行色知识库建立条件属性和决策属性依赖关系，从而完成流行色的预测推理。开发了基于粗集理论的智能化流行色预测系统，并以服装产品为例预测流行色测，结果表明该系统可准确预测未来短期内的流行色。
英文摘要：
Conventional artificial forecast methods of fashion-color are inefficient and wasteful.To tackle this issue,a forecasting system for product fashion color based on rough set theory is constructed in this paper.Firstly,a product fashion-color knowledge database is built based on decision table and fuzzy set methods.Then a knowledge discovering algorithm of forecasting fashion color is presented with rough set theory and differentiability matrix theory.With the algorithm,the dependent relations between condition attributes and decision attribute based on fashion-color knowledge database can be built.Finally,an intelligent fashion color forecasting system is developed,and a forecast case of clothes fashion color is implemented.The results show that this system can forecast fashion color in short term.
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