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。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第11期31-33,共3页
Computer Engineering and Applications
基金
国家自然科学基金重点项目(the Grand National Natural Science Foundation of China under Grant No.90612017)
国家高技术研究发展计划( 863)(the National High- Tech Research and Development Plan of China under Grant No.2002AA411120)
关键词
流行色
预测系统
粗集理论
知识挖掘
fashion-color
forecasting system
rough set
knowledge discovery
