基于改进层次分析法的特殊体型样板识别
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摘要
针对传统层次分析法的缺陷,提出结合因子分析、聚类分析的改进层次分析方法,应用到特体样板识别中。首先,通过因子分析确定各级指标的影响因素及其权重系数。然后,采用K-means聚类分析将特体样板聚为臀部、胸部和腹部等3类典型样板。最后,运用层次分析法确定各指标的权重,构建了包括6个二级指标、13个三级指标、3个四级指标的特体样板递阶层次结构模型。随机选取3个样本进行实证研究,以因子分析中提取的5个主成分为聚类指标,以K-means方法进行聚类,采用特体样板递阶层次结构模型识别被测样本与臀部、胸部、腹部样板的隶属度。结果表明,该方法可有效地表征特体样板的变异程度并识别所属的样板类别。
Aiming at the shortcomings of conventional analytic hierarchy process, an improved analytic hierarchy process based on combination factor analysis and cluster analysis was proposed and applied to special model recognition. Firstly, factor analysis was applied to determine the influencing factors and weight coefficients of each level of indicators. Then, K-means cluster analysis was applied to collect the special samples into three typical models such as hip, chest and abdomen. Finally, the analytic hierarchy process was applied to determine the weight of each indicator, and a special model-level hierarchical structure model including six secondary indicators, 13 third-level indicators and three four-level indicators was constructed. Three samples were randomly selected for empirical research. The five principal components extracted from the factor analysis were used as clustering indicators, and the K-means method was used for clustering. The specific sample-level hierarchical structure model was applied to identify the sample to be tested and hip and chest. The results show that the method can effectively characterize the variation of the special model and identify the model category.
Aiming at the shortcomings of conventional analytic hierarchy process, an improved analytic hierarchy process based on combination factor analysis and cluster analysis was proposed and applied to special model recognition. Firstly, factor analysis was applied to determine the influencing factors and weight coefficients of each level of indicators. Then, K-means cluster analysis was applied to collect the special samples into three typical models such as hip, chest and abdomen. Finally, the analytic hierarchy process was applied to determine the weight of each indicator, and a special model-level hierarchical structure model including six secondary indicators, 13 third-level indicators and three four-level indicators was constructed. Three samples were randomly selected for empirical research. The five principal components extracted from the factor analysis were used as clustering indicators, and the K-means method was used for clustering. The specific sample-level hierarchical structure model was applied to identify the sample to be tested and hip and chest. The results show that the method can effectively characterize the variation of the special model and identify the model category.
引文
[1] CORONA E,ALENYA G,GABAS A,et al.Active garment recognition and target grasping point detection using deep learning[J].Pattern Recognition,2018,74(2):629-641.
[2] APEAGYEI P R.Application of 3D body scanning technology to human measurement for clothing fit[J].International Journal of Digital Content Technology & Its Applications,2010,4(7):58-68.
[3] MENG Y,MOK P Y,JIN X.Computer aided clothing pattern design with 3D editing and pattern alteration[J].Computer Aided Design,2012,44(8):721-734.
[4] 冀艳波,张睿,应柏安.男西装工业生产用服装样板改进分析[J].西安工程大学学报,2008,22(5):565-568.JI Yanbo,ZHANG Rui,YING Boan.Analysis of the improved industry production pattern of the man suit[J].Journal of Xi′an Polytechnic University,2008,22 (5):565-568.
[5] 张伶俐,张皋鹏.应用MatLab的服装纸样参数化平面制版[J].纺织学报,2019,40(1):130-135.ZHANG Linli,ZHANG Gaopeng.Parametric flat pattern design for clothing based on MatLab [J].Journal of Textile Research,2019,40(1):130-135.
[6] 朱伟明,谢琴,彭卉.男西服数字化智能化量身定制系统研发[J].纺织学报,2017,38(04):151-157.ZHU Weiming,XIE Qin,PENG Hui.Digitalize and intelligentize customization system of men′s suit [J].Journal of Textile Research,2017,38(04):151-157.
[7] 彭磊,谢红,邹奇芝.基于量身定制特体女装原型样板的生成[J].纺织学报,2011,32(4):101-105.PENG Lei,XIE Hong,ZOU Qizhi.Generation of women′s basic patterns of special body forms based on made to measure[J].Journal of Textile Research,2011,32 (4):101-105.
[8] LIU K,WANG J,KAMALHA E,et al.Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning[J].The Journal of The Textile Institute,2017,108(12):2107-2114.
[9] 刘为敏,谢红.BP神经网络下的智能化合体服装样板生成[J].纺织学报,2018,39(7):116-121.LIU Weimin,XIE Hong.Generation of intelligent fitting pattern based on BP neural network [J].Journal of Textile Research,2018,39(7):116-121.
[10] PENG S,LIU Z W.The comprehensive assessment of power quality based on attribute recognition theory and AHP algorithm[J].Advanced Materials Research,2014,1044-1045:515-522.
[11] PUNIASINDHU S,NEHRAV,LUTHRA S.Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process:Indian outlook[J].Energy,2016,100(4):332-348.
[12] ZHAO J,JIN J,ZHU J,et al.Water resources risk assessment model based on the subjective and objective Combination weighting methods[J].Water Resources Management,2016,30(9):3027-3042.
[13] SAATY T L,VARGASL G.An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making:prioritizing divergent intangible humane acts[J].European Journal of Operational Research,2011,214(3):703-715.
[14] 郑唯唯,凌晓静,杨萍.基于层次分析法的多指标灰靶决策模型[J].纺织高校基础科学学报,2013(4):463-467.ZHENG Weiwei,LING Xiaojing,YANG Ping.The multi-attribute grey target decision-making model based on analytic hierarchy process[J].Basic Sciences Journal of Textile Universities,2013 (4):463-467.
[15] 陈明月,杨青,高琼琼.层次分析法在本科教学评估中的应用研究[J].西安工程大学学报,2010,24(1):106-110.CHEN Mingyue,YANG Qing,GAO Qiongqiong.Application of AHP in the undergraduate education evaluate [J].Journal of Xi′an Polytechnic University,2010,24 (1):106-110.
[16] OKABE K,KUROKAWA T.Silhouette analysis and categorization of body shape changes in Japanese girls during periods of growth[J].Japanese Journal of Ergonomics,2010,41(1):17-23.
[17] 齐静,李毅,张欣.我国西部地区青年男性体型描述与体型分类研究[J].纺织学报,2010,31(5):107-111.QI Jing,LI Yi,ZHANG Xin.Description and classification of young men′s body type in the west China[J].Journal of Textile Research,2010,31 (5):107-111.
[18] 庹武,郑攀,常亭亭,等.基于层次分析法的服装裁剪分床影响因素[J].纺织学报,2013,34(4):148-152.TUO Wu,ZHENG Pan,CHANG Tingting,et al.Analysis of factors affecting cutting scheme based on analytical hierarchy process[J].Journal of Textile Research,2013,34 (4):148-152.
[19] ZHANG J,WANG C M,LIU L,et al.Investigation of carbon dioxide emission in China by primary component analysis[J].Science of the Total Environment,2014,472(2):239-247.
[20] WANG R W,YAN J L,WU X Y,et al.Automatic Identification of lyocell and cotton fibers using cluster Analysis[J].Textile Research Journal,2010,80(13):1330-1334.
[2] APEAGYEI P R.Application of 3D body scanning technology to human measurement for clothing fit[J].International Journal of Digital Content Technology & Its Applications,2010,4(7):58-68.
[3] MENG Y,MOK P Y,JIN X.Computer aided clothing pattern design with 3D editing and pattern alteration[J].Computer Aided Design,2012,44(8):721-734.
[4] 冀艳波,张睿,应柏安.男西装工业生产用服装样板改进分析[J].西安工程大学学报,2008,22(5):565-568.JI Yanbo,ZHANG Rui,YING Boan.Analysis of the improved industry production pattern of the man suit[J].Journal of Xi′an Polytechnic University,2008,22 (5):565-568.
[5] 张伶俐,张皋鹏.应用MatLab的服装纸样参数化平面制版[J].纺织学报,2019,40(1):130-135.ZHANG Linli,ZHANG Gaopeng.Parametric flat pattern design for clothing based on MatLab [J].Journal of Textile Research,2019,40(1):130-135.
[6] 朱伟明,谢琴,彭卉.男西服数字化智能化量身定制系统研发[J].纺织学报,2017,38(04):151-157.ZHU Weiming,XIE Qin,PENG Hui.Digitalize and intelligentize customization system of men′s suit [J].Journal of Textile Research,2017,38(04):151-157.
[7] 彭磊,谢红,邹奇芝.基于量身定制特体女装原型样板的生成[J].纺织学报,2011,32(4):101-105.PENG Lei,XIE Hong,ZOU Qizhi.Generation of women′s basic patterns of special body forms based on made to measure[J].Journal of Textile Research,2011,32 (4):101-105.
[8] LIU K,WANG J,KAMALHA E,et al.Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning[J].The Journal of The Textile Institute,2017,108(12):2107-2114.
[9] 刘为敏,谢红.BP神经网络下的智能化合体服装样板生成[J].纺织学报,2018,39(7):116-121.LIU Weimin,XIE Hong.Generation of intelligent fitting pattern based on BP neural network [J].Journal of Textile Research,2018,39(7):116-121.
[10] PENG S,LIU Z W.The comprehensive assessment of power quality based on attribute recognition theory and AHP algorithm[J].Advanced Materials Research,2014,1044-1045:515-522.
[11] PUNIASINDHU S,NEHRAV,LUTHRA S.Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process:Indian outlook[J].Energy,2016,100(4):332-348.
[12] ZHAO J,JIN J,ZHU J,et al.Water resources risk assessment model based on the subjective and objective Combination weighting methods[J].Water Resources Management,2016,30(9):3027-3042.
[13] SAATY T L,VARGASL G.An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making:prioritizing divergent intangible humane acts[J].European Journal of Operational Research,2011,214(3):703-715.
[14] 郑唯唯,凌晓静,杨萍.基于层次分析法的多指标灰靶决策模型[J].纺织高校基础科学学报,2013(4):463-467.ZHENG Weiwei,LING Xiaojing,YANG Ping.The multi-attribute grey target decision-making model based on analytic hierarchy process[J].Basic Sciences Journal of Textile Universities,2013 (4):463-467.
[15] 陈明月,杨青,高琼琼.层次分析法在本科教学评估中的应用研究[J].西安工程大学学报,2010,24(1):106-110.CHEN Mingyue,YANG Qing,GAO Qiongqiong.Application of AHP in the undergraduate education evaluate [J].Journal of Xi′an Polytechnic University,2010,24 (1):106-110.
[16] OKABE K,KUROKAWA T.Silhouette analysis and categorization of body shape changes in Japanese girls during periods of growth[J].Japanese Journal of Ergonomics,2010,41(1):17-23.
[17] 齐静,李毅,张欣.我国西部地区青年男性体型描述与体型分类研究[J].纺织学报,2010,31(5):107-111.QI Jing,LI Yi,ZHANG Xin.Description and classification of young men′s body type in the west China[J].Journal of Textile Research,2010,31 (5):107-111.
[18] 庹武,郑攀,常亭亭,等.基于层次分析法的服装裁剪分床影响因素[J].纺织学报,2013,34(4):148-152.TUO Wu,ZHENG Pan,CHANG Tingting,et al.Analysis of factors affecting cutting scheme based on analytical hierarchy process[J].Journal of Textile Research,2013,34 (4):148-152.
[19] ZHANG J,WANG C M,LIU L,et al.Investigation of carbon dioxide emission in China by primary component analysis[J].Science of the Total Environment,2014,472(2):239-247.
[20] WANG R W,YAN J L,WU X Y,et al.Automatic Identification of lyocell and cotton fibers using cluster Analysis[J].Textile Research Journal,2010,80(13):1330-1334.
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