女套装上衣结构特征指标及其数学模型

Upper garment of lady′s suit: structure characteristic indexes and their mathematic models

量取女套装上衣的尺寸参数,通过样本聚类分析,将样本分成4类,分别为宽松型、半宽松型、半贴体型和贴体型;运用主成分分析法和相关分析法对测量指标因子进行分析,提取女套装上衣结构的特征指标;采用逐步回归法建立特征指标的多元线性回归模型。完成对女装廓型、上衣结构特征指标及其数学模型等专家知识的获取,为女装结构设计中规格尺寸的合理选择与设置提供理论参考,并为女套装上衣样板尺寸自动生成系统的建立打下基础。

Based on upper garment＇s detail sizes of lady＇s suits, the samples are divided into four kinds： loose type, semi-loose type, semi-fit type and fit type by cluster analysis. Then characteristic indexes of upper garment structure of lady＇s suit are extracted by using the methods of principal component analysis and correlation analysis. By adopting stepwise selection regression analysis, multivariate linear regression models are established. The expert knowledge of garment outline types, pattern characteristic indexes and their mathematic models of upper garment structure are obtained. The results provide theoretical basis for rational choice and determination of specifications in women＇s garment structure design and lay a foundation for building auto-generation system of pattern size of the upper garment.