EXTENDING EXPRESS-G TO MODEL FUZZY INFORMATION IN PRODUCT DATA MODEL

Z. M. Ma, W. J. Zhang, W. Y. Ma, G. Q. Chen

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    8 Citations (Scopus)

    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. Copyright © 2000 by ASME.
    Original languageEnglish
    Title of host publication20th Computers and Information in Engineering Conference
    PublisherAmerican Society of Mechanical Engineers
    Pages285-291
    Volume1
    ISBN (Print)9780791835111
    DOIs
    Publication statusPublished - 2000
    EventASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2000 - Baltimore, United States
    Duration: 10 Sept 200013 Sept 2000

    Publication series

    NameProceedings of the ASME Design Engineering Technical Conference
    Volume1

    Conference

    ConferenceASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2000
    Country/TerritoryUnited States
    CityBaltimore
    Period10/09/0013/09/00

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