STEP implementation of imperfect EXPRESS model in fuzzy object-oriented databases

Ma, Zongmin; Wang, Huaiqing

doi:10.1016/j.fss.2006.03.008

Cited by 2 publications

(1 citation statement)

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“…In order to model fuzzy engineering information in the conceptual data models, the IDEF1X data model and the EXPRESS data model were initially extended in [49,57], respectively, in which the fuzziness in object instances and attribute values can be represented. In addition, the implementation of fuzzy EXPRESS model in fuzzy object-oriented databases was investigated in [50], and the formal mapping of fuzzy IDEF1X model into fuzzy object-oriented databases was presented in [93]. In the context of database models, fuzzy information modeling has been extensively investigated in [17,54,65,67,82].…”

Section: Introductionmentioning

confidence: 99%

Extending engineering data model for web-based fuzzy information modeling

2013

ICA

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Being an information modeling language to support the STEP (Standard for Exchange of Product Model Data), EXPRESS has been developed to share and exchange product design, manufacturing and production data in product life cycle. Also being the de-facto standard of data representation and exchange over the Web, XML (eXtensible Markup Language) has been widely applied in Web-based engineering applications for product data exchange and share. It is essential to integrate EXPRESS data model and XML data model in engineering data modeling. EXPRESS-G is the graphical representation of EX-PRESS and can serve as the conceptual design of Web-based engineering data models. Fuzzy engineering information is inherent in many engineering activities. In order to explicitly represent and handle fuzzy engineering information, this paper introduces an extended EXPRESS-G data model for different kinds of fuzziness modeling. After presenting the formal descriptions and corresponding representations of the fuzzy EXPRESS-G data model, the paper investigates the formal transformation from the fuzzy EXPRESS-G data model to the fuzzy XML model. The formal transformation approaches proposed in the paper are demonstrated with engineering application examples.

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