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A knowledge acquisition tool for decision support systems

  • Knowledge Acquisition And Representation
  • Conference paper
  • First Online:
AI '88 (AI 1988)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 406))

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Abstract

A non-deterministic tabular representation for decision-making criteria is described and related to decision trees and production rules. Its advantages as a knowledge acquisition tool are discussed and illustrated in the context of prototyping an electronic assistant for steel production planners.

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6. References

  • Brown, D.J.H. "Concept Learning by Feature Value Interval Abstraction", Proc. Workshop on Pattern-Directed Inference Systems, Hawaii, ACM SIGART Newsletter No. 63 (June 1977), pp 55–60.

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  • Brown, D.J.H. "A Task-Free Concept Learning Method Employing Generalisation and Abstraction Techniques", International Journal of Cybernetics, Vol 9 (June 1979), pp 315–358.

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  • Francioni, J.M. and Kendel, A. "A Software Engineering Tool for Expert System Design", IEEE Expert (Spring 1988), pp 33–41.

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  • Gane, C. and Sarson, T. (1979) Structured Systems Analysis: Tools and Techniques, Prentice-Hall, Englewood Cliffs, New Jersey.

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Christopher J. Barter Michael J. Brooks

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© 1990 Springer-Verlag Berlin Heidelberg

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Brown, D.J.H. (1990). A knowledge acquisition tool for decision support systems. In: Barter, C.J., Brooks, M.J. (eds) AI '88. AI 1988. Lecture Notes in Computer Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52062-7_80

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  • DOI: https://doi.org/10.1007/3-540-52062-7_80

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52062-7

  • Online ISBN: 978-3-540-46875-2

  • eBook Packages: Springer Book Archive

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