纺织学报 ›› 2008, Vol. 29 ›› Issue (4): 95-98.

• 服装工程 • 上一篇    下一篇

半紧身裙造型特征主观评价的群体决策与预测

唐虹1;张渭源2;秦志林1   

  1. 1.南通大学 江苏南通226007;2.东华大学服装学院 上海200051
  • 收稿日期:2007-04-08 修回日期:2007-11-07 出版日期:2008-04-15 发布日期:2008-04-15

Group decision-making of subjective evaluation of the shape of semi-tight skirt and its intelligent prediction

TANG Hong;ZHANG Weiyuan;QIN Zhilin   

  1. 1.Nantong University;Nantong;Jiangsu 226007;China;2.Fashion Institute;Donghua University;Shanghai 200051;China
  • Received:2007-04-08 Revised:2007-11-07 Online:2008-04-15 Published:2008-04-15

摘要: 提出半紧身裙造型特征主观评价指标为形式感、体量感、平衡感、运动感、悬垂感、节奏感、稳重感、均匀感、贴体感、平服感等。以18位服装设计师、服装工艺师和服装销售专家组成专家评判组对41种不同面料构成的半紧身裙造型特征作出主观评价,通过群体决策得到半紧身裙的总造型值(TSV),用BP神经网络构建了半紧身裙总造型值的预测模型。将FAST系统测量的面料力学性能指标作为神经网络模型的输入层,总造型值作为输出层。通过对任选8只样本的预测值和实测值的线性回归分析发现,该模型有很好的预测精度。

Abstract: The shape parameters of semi-tight skirt for subjective evaluation are described as shape,volume,balance,movement,drape,rhythm,steady,uniform,snug,and smooth.An expert group of eighteen apparel professionals including designers,technologists and sales personnel has assessed 41semi-tight skirts made of different fabrics,the total shape value(TSV) is put forward by group decision-making.The BP neural network model of TSV is built up,the data of fabric mechanical properties obtained by FAST system are applied to the input layer,and the output layer is TSV.By analyzing the regression model between measurement value and the predictive value of 8 specimens randomly selected,it is proved that the network model has an excellent prediction precision.

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