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A Framework for Building Intelligent Information-Processing Systems Based on Granular Factors Space

  • Chapter
Data Mining, Rough Sets and Granular Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 95))

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Abstract

Reviewing the current Artificial Intelligent (AI) techniques of knowledge representation, knowledge acquisition and inference, in this chapter, we develop the factors space into the granular factors space for building intelligent information-processing systems. In details, we discuss, using the factors space methods and granular factors space methods, how to represent knowledge — concepts(in extension and intention), facts, and rules, how to acquire refined knowledge from source knowledge automatically, and how to reason with explaining property quickly. To facilitate our studying, a tool for building diagnostic expert systems is provided.

Project Supported by National Natural Science Foundation of China, No. 49971001

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Author information

Authors and Affiliations

  1. Department of Mathematics, Beijing Normal University, Beijing, 100875, China

    Fusheng Yu

  2. Institute of Resources Science, Beijing Normal University, Beijing, 100875, China

    Chongfu Huang

  3. Key Laboratory of Environmental Change and Natural Disaster, The Ministry of Education of China, China

    Chongfu Huang

Authors
  1. Fusheng Yu
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  2. Chongfu Huang
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, San Jose State University The Metropolitan University of Silicon Valley, One Washington Square, 95192-0103, San Jose, CA, USA

    Tsau Young Lin

  2. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Y. Yao

  3. Computer Science Division and Electronics Research Laboratory Department of Electrical and Electronics, University of California Berkeley Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

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© 2002 Springer-Verlag Berlin Heidelberg

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Yu, F., Huang, C. (2002). A Framework for Building Intelligent Information-Processing Systems Based on Granular Factors Space. In: Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds) Data Mining, Rough Sets and Granular Computing. Studies in Fuzziness and Soft Computing, vol 95. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1791-1_20

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  • DOI: https://doi.org/10.1007/978-3-7908-1791-1_20

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2508-4

  • Online ISBN: 978-3-7908-1791-1

  • eBook Packages: Springer Book Archive

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