Optics and Precision Engineering, Volume. 22, Issue 6, 1677(2014)

Application of FAHP-based foot-last matching algorithm to customized shoe-last

REN Huai-yi*... WANG Bo-xiong and LUO Xiu-zhi |Show fewer author(s)
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    As existing customized shoe-last technologies are lock of perfect foot-last matching algorithm and measurement indexes, this paper proposes a foot-last matching algorithm based on Fuzzy Analytic Hierarchy Process (FAHP). The technological paths were selected through calculating the Matching Degree (MD) value between the customers′ feet and the shoe-lasts from the database. First, eight foot-last characteristic parameters were extracted as the criterion layer of the FAHP to measure the matching of shoe lasts and the triangular fuzzy numbers were employed to calculate the MD value of the parameters between foot and shoe-last. Then, according to the effect of these characteristic parameters on shoe′s comfort and the difficulty of meeting these parameters in the deformation design process, two pairs of comparison matrices were established. The weights of these eight parameters were obtained by solving the corresponding eigenvectors of the maximum eigenvalue of the two matrices. Finally, the MD value was calculated and the best path was decided. With this method, a case was presented with a calculated MD value equal to 0.69. Compared to the threshold value 0.50 and the customized shoe-last standard value of 0.80, it points out that this shoe-last is not the customized one but a mother shoe-last that can be deformed for better fit and comfort. This method can join the customized shoe-last technological path based on shoe-last database and the direct path based on 3D foot data to increase the efficiency for customizing shoe-lasts and to reduce the cost.

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    REN Huai-yi, WANG Bo-xiong, LUO Xiu-zhi. Application of FAHP-based foot-last matching algorithm to customized shoe-last[J]. Optics and Precision Engineering, 2014, 22(6): 1677

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    Paper Information

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    Received: Aug. 28, 2013

    Accepted: --

    Published Online: Jun. 30, 2014

    The Author Email: Huai-yi REN (rhy05@mails.tsinghua.edu.cn)

    DOI:10.3788/ope.20142206.1677

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