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.
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.
Francioni, J.M. and Kendel, A. "A Software Engineering Tool for Expert System Design", IEEE Expert (Spring 1988), pp 33–41.
Gane, C. and Sarson, T. (1979) Structured Systems Analysis: Tools and Techniques, Prentice-Hall, Englewood Cliffs, New Jersey.
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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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