Rough set based forecasting system for product color

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

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Rough set based forecasting system for product color

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

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．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

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

ZHANG Quan¹,KANG Wen-ke²,MING Xin-guo¹. Rough set based forecasting system for product color[J]. Computer Engineering and Applications, 2008, 44(11): 31-33.

张全¹,康文科²,明新国¹. 基于粗集的产品色彩预测系统研究[J]. 计算机工程与应用, 2008, 44(11): 31-33.

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Rough set based forecasting system for product color

基于粗集的产品色彩预测系统研究

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