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Extending engineering data model for web-based fuzzy information modeling.

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Title: Extending engineering data model for web-based fuzzy information modeling.
Authors: Yan, Li1, Ma, Z.M.2
Source: Integrated Computer-Aided Engineering. 2013, Vol. 20 Issue 4, p407-420. 14p.
Subjects: Engineering databases, Fuzzy systems, Information storage & retrieval systems, Product design, Product life cycle, XML (Extensible Markup Language)
Abstract: Being an information modeling language to support the STEP (Standard for Exchange of Product Model Data), \linebreak 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 EXPRESS 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. [ABSTRACT FROM AUTHOR]
Copyright of Integrated Computer-Aided Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Being an information modeling language to support the STEP (Standard for Exchange of Product Model Data), \linebreak 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 EXPRESS 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Integrated Computer-Aided Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Fuzzy systems
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      – SubjectFull: Information storage & retrieval systems
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      – SubjectFull: Product life cycle
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              Text: 2013
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