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Fuzziness and expert system generation

  • Section II Approaches To Uncertainty B) Fuzzy Set Theory
  • Conference paper
  • First Online:
Uncertainty in Knowledge-Based Systems (IPMU 1986)

Abstract

The Matrix Controlled Inference Engine (MACIE) style expert system uses a knowledge base automatically generated from a set of crisp training examples. However, when viewed from a fuzziness perspective, it is seen that the Pocket Algorithm which generates the knowledge base operates nondeterministically. Thus we have the fuzzy generation of a crisp expert system, rather than the usual crisp generation of a fuzzy expert system. It is also shown how MACIE can directly implement fuzzy expert systems.

Partially supported by a grant from the Northeastern University Research and Scholarship Development Fund

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B. Bouchon R. R. Yager

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© 1987 Springer-Verlag Berlin Heidelberg

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Frydenberg, M., Gallant, S.I. (1987). Fuzziness and expert system generation. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_12

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  • DOI: https://doi.org/10.1007/3-540-18579-8_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

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