Classification and coding approaches to part family formation under a fuzzy environment

Classification and coding is a major approach to solve the part family formation problem in group-technology applications. Traditionally, all features in a classification and coding system are considered crisp. It has been recognized that more realistically some features should be fuzzy. This paper addresses issues involved in using the classification and coding approach for part family formation under a fuzzy environment. Methods for dealing with major issues such as part coding, computation of similarity between parts, and part family formation are proposed and discussed in detail. Examples were given to show how these methods could be applied.

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