Shoe last, which is the mold for shoe making, is the key issue for good shoe design. Shoe lasts are designed and manufactured based on the features, characteristics, and functions of human feet within anthropometry. However, people's feet are different, and, under the mass production specifications in the foot-ware industry the same type of shoe last cannot be used to make shoes to fit everyone. The main purpose of this research is to build a process to find the most suitable shoe last for making shoes for human feet. A fitness function is defined to determine the optimum shoe last Based on reverse engineering (RE) technology, this research scanned the surface of human foot and shoe last in STL (Stereo Lithography) format. We proposed the STL feature-based slicing algorithm to automatical1y construct the three most important girth characteristic feature curves for human feet and shoe last. Fuzzy theory was used to analyze and build the membership functions of these three important characteristic feature curves between the shoe last and human feet. The analytical hierarchy process (AHP) was applied to compare the important index and decide the weighting functions for each girth characteristic to determine the fitness function in al1 shoe last databases for the feet Five case studies were implemented to find the ranking in the database of 10 shoe lasts. Final1y, this research, which defined the relationships between shoe last and human feet, could be used as a reference for design or making modifications in the shoe-making process