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Imprecise and Uncertain REngineering Information Modeling in Databases

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Advances in Artificial Intelligence (Canadian AI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2056))

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Abstract

Engineering information modeling involves database systems and modeling tools. Currently, there are no existing database systems and modeling tools that support imprecise and uncertain engineering information. Information imprecision and uncertainty exist in almost all aspects of engineering applications. Constructing intelligent manufacturing systems (IMS) has imposed great challenge to current database technologies in modeling engineering data with imprecise and uncertain information.

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Author information

Authors and Affiliations

  1. University of Saskatchewan, 57 Campus Driver, Saskatoon, SK S7N 5A9, Canada

    Z. M. Ma & W. J. Zhang

  2. City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong

    Z. M. Ma & W. Y. Ma

Authors
  1. Z. M. Ma
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  2. W. J. Zhang
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  3. W. Y. Ma
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Alberta, Edmonton, AB, Canada, T6G 2E8

    Eleni Stroulia

  2. School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, K1N 6N5

    Stan Matwin

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© 2001 Springer-Verlag Berlin Heidelberg

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Ma, Z.M., Zhang, W.J., Ma, W.Y. (2001). Imprecise and Uncertain REngineering Information Modeling in Databases. In: Stroulia, E., Matwin, S. (eds) Advances in Artificial Intelligence. Canadian AI 2001. Lecture Notes in Computer Science(), vol 2056. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45153-6_35

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  • DOI: https://doi.org/10.1007/3-540-45153-6_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42144-3

  • Online ISBN: 978-3-540-45153-2

  • eBook Packages: Springer Book Archive

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