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作 者:丁文捷[1]
出 处:《纺织学报》2008年第3期126-131,共6页Journal of Textile Research
基 金:国家科技型中小企业技术创新基金资助项目(05C26216401535)
摘 要:通过对量体数据库、销售数据库的数据挖掘,研究服装投产的号型规格配比决策模型和决策方法。运用数据挖掘的K-Means方法处理表征顾客量体体型大小的数据库,引导并简化区域化服装投产号型表的制定;运用SubCluster聚类提炼区域化服装量体数据,成为指导生产的"区域化规格号型表",对人群进行规格号型总体分档,为规模化服装定制生产提供可靠的定制规格表;并由此对销售规格数据库、量体尺寸数据库、库存数据库进行统计与挖掘,提出了投产的号型规格配比决策模型,为"基于三维量体库的服装号型决策系统开发"项目奠定了基础,开发了实用软件工具。Based on the body measurement database, sales database data mining, decision methods concerning specifications, size and proportion for costume commission were researched. It used the data mining K-Means method to characterize patronage body sizes of the databases, guide and simplify the specification table of regional apparel products. Clustering use of SubCluster method for refining regionalization clothing body measure data, as guiding production of "regionalization specifications and type" of the crowd; It was very useful to classify specifications from human groups in some regions, and it can be used reliably for getting specifications table in mass custom-made. And then, based on type and specifications ratio decision model with statistics and data mining method form sales specifications database and body size database and inventory database, the foundation of the project of " Based on 3-D Size-Type Clothing Decision Making System Development" was established, and practical software was also developed for it.
关 键 词:量体数据 归号 数据挖掘 模糊聚类 规格号型表 投产规格号型决策
分 类 号:TS941.79[轻工技术与工程—服装设计与工程] TP39[自动化与计算机技术—计算机应用技术]
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