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首页> 外文会议>Wuhan International Conference on E-Business; 20070526-27; Wuhan(CN) >AHP-Based Optimal Selection of Garment Sizes for Online Shopping with Considering Body Natural Movements
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AHP-Based Optimal Selection of Garment Sizes for Online Shopping with Considering Body Natural Movements

机译：考虑身体自然运动的基于AHP的在线购物服装尺寸最佳选择

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摘要

During online shopping, a customer can not try on a garment, but identify the suitable one from his or her own experience. Hence, the selected garment size does not always fit the customer. To solve this problem, a framework of optimal selection of garment sizes for online shopping is presented in this paper. The Analytic Hierarchy Process (AHP) method is employed to calculate the synthetic matching degree between customer's measurements and the corresponding key-part values of ready-to-wear sizes. We consider not only the matching degree between static body measurements and garment sizes, but also the comfort requirements for body physiological activity and movements. In order to demonstrate the feasibility of the proposed method, we provide an example of selecting the fittest sizes of men's top. The results have shown that the proposed method is useful to provide objective and scientific decision-making reference in clothing's online shopping application.
机译：在网上购物期间，客户不能试穿衣服，而只能根据自己的经验确定合适的衣服。因此，选定的服装尺寸并不总是适合客户。为了解决这个问题，本文提出了一种用于网上购物的最佳服装尺寸选择框架。采用层次分析法（AHP）来计算客户的测量值与成衣尺寸的对应关键零件值之间的综合匹配度。我们不仅考虑静态人体测量值与服装尺寸之间的匹配程度，还考虑人体生理活动和运动的舒适性要求。为了证明该方法的可行性，我们提供了一个选择最合适的男式上衣尺寸的示例。结果表明，该方法为服装在线购物中的客观科学决策提供了参考。

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