Color tolerancing system employing fuzzy logic

作者: David L. Alston , Kevin B. Kern

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摘要: A color measuring system uses fuzzy logic to establish acceptable pass/fail tolerances for production or inventory samples. The define a super ellipsoid which has six individual tolerance coordinates. Initially, the are defined by high/low values of pass samples in training set have been chosen represent population visually rated and fail classifier template ranks every sample set. Any ranking that differs from visual rank is considered an error. All error distances summed all passed through contained induction module determine changes needed minimize distance. new then process repeated until minimum distance achieved. final used subsequent as either fail. Shade sorting can also be accomplished. In case, twice, first centroid differences shade differences. processed template/induction two tolerances. rates production/inventory if they meet needs, places proper sort group.

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