Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (11): 31-33.

• 博士论坛 • Previous Articles     Next Articles

Rough set based forecasting system for product color

ZHANG Quan1,KANG Wen-ke2,MING Xin-guo1   

  1. 1.School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China
    2.School of Electromechanics,Northwestern Polytechnical University,Xi’an 710072,China
  • Received:2007-12-03 Revised:2007-12-29 Online:2008-04-11 Published:2008-04-11
  • Contact: ZHANG Quan

基于粗集的产品色彩预测系统研究

张 全1,康文科2,明新国1   

  1. 1.上海交通大学 机械与动力工程学院,上海 200240
    2.西北工业大学 机电学院,西安 710072
  • 通讯作者: 张 全

Abstract: 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.

Key words: fashion-color, forecasting system, rough set, knowledge discovery

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。

关键词: 流行色, 预测系统, 粗集理论, 知识挖掘