Extending Express-G to Model Fuzzy Information in Product Data Model

Abstract

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.

Motivation-Based Segmentation of Tourist Shoppers to Hainan During COVID-19

“…Research on shopping tourism is also limited in that it is distributed highly unequally; in 2016, Choi et al found that 70% of research on shopping tourism to date has focused on the USA and East and Southeast Asia. In tourism research on Hainan, researchers have concentrated on tourism resource development (Ma et al, 2018; Shen & Tian, 2010), tourism management (H. Dong et al, 2019; W.…”