摘要

Garment online shopping has been accepted by more and more consumers in recent years. In online shopping, a buyer only chooses the garment size judged by his own experience without trying-on, so the selected garment may not be the fittest one for the buyer due to the variety of body';s figures. Thus, we propose a method of optimal selection of garment sizes for online shopping based on Analytic Hierarchy Process ( AHP ). The hierarchical structure model for optimal selection of garment sizes is structured and the fittest garment for a buyer is found by calculating the matching degrees between individual';s measurements and the corresponding key-part values of ready-to-wear clothing sizes. In order to demonstrate its feasibility, we provide an example of selecting the fittest sizes of men';s bottom. The result shows that the proposed method is useful in online clothing sales application.

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