Abstract

Information with imprecision and uncertainty is inherently presented in engineering design and manufacturing. The nature of imprecision and uncertainty is incompleteness. Product data model, being a core of intelligent manufacturing system, consists of all concerned data in the product life cycle. It is possible that crisp data as well as incomplete data are involved in product data model. So EXPRESS, being a powerful tool to develop a product data model, should be extended for this purpose. This paper extends the data types in EXPRESS to make it possible to represent fuzzy information.

Volume Subject Area:
21st Computers and Information in Engineering Conference
Topics:
Cycles, Engineering design, Manufacturing, Manufacturing systems, Modeling, Uncertainty
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