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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© 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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