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Knowledge Acquisition for Spatial Inference — The Case of Genetic Algorithms

In: Intelligent Spatial Decision Support Systems

Author

Listed:
  • Yee Leung

    (The Chinese University of Hong Kong)

Abstract

Intelligent SDSS integrating human expertise and very large spatial databases have become a necessity for solving our highly complex spatial problems such as resource exploration, land-type classification, transportation planning, and environmental management. In addition to a sound theoretical foundation, a good system design, and a powerful and user-friendly software environment, the success of intelligent SDSS lies heavily on the domain specific knowledge they acquired. Knowledge acquisition thus plays a very important role in the design of intelligent SDSS in general and spatial expert systems in particular (Barbanente et al., 1992).

Suggested Citation

  • Yee Leung, 1997. "Knowledge Acquisition for Spatial Inference — The Case of Genetic Algorithms," Advances in Spatial Science, in: Intelligent Spatial Decision Support Systems, chapter 6, pages 229-268, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-60714-1_6
    DOI: 10.1007/978-3-642-60714-1_6
    as

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