Abstract
Foremen in a sewing shop carry out a process analysis task to make it possible to produce an ordered lot on an assembly line. The way that a foreman performs such a task for a newly released order is by remembering the manufacturing process of a product whose design features are similar to those of the said product. There are two types of information about design features ; explicit ones and ambiguous ones. To handle the latter design features, the concept of a fuzzy set is necessary. In order to permit labor saving, this paper presents preliminary information about the framework of a fuzzy knowledge-based system based on a learning model by analogy for the process analysis task in the sewing shop.
