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Information with uncertainty and imprecision is inherently presented in engineering design and manufacturing. The nature of uncertainty and imprecision is incompleteness. The incompleteness is a typical feature in earlier product design phases. Product design is essentially viewed as a process of reducing the incompleteness in the description of conceptual design. Some methods and strategies for the preliminary engineering design, calculation, and modeling in relational database systems have been proposed to process imprecise and uncertain information. Product data model, being a core of intelligent manufacturing system, consists of all concerned data in the product life cycle. EXPRESS-G is a powerful tool to develop a product data model. This paper extends the EXPRESS-G to make it possible to represent information with uncertainty and imprecision.

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Database schema integration is an important discipline for constructing heterogeneous multidatabase systems on one hand. On the other hand, fuzzy information has been introduced into relational databases and studied extensively. However, the issues of integrating local fuzzy relations are rarely addressed. In this chapter, we focus on schema integration of fuzzy multidatabase systems. In particular, we develop a method for identifying the entities in fuzzy multidatabase integration with incompatible keys.