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Article Dans Une Revue Bulletin pour les sous-ensembles flous et leurs applications Année : 1983

Probabilistic vs. fuzzy production rules in expert systems

Résumé

In the design of Expert Systems there is increasing recognition of the need for graded production rules, that is, the use of grades or degrees of strength of implication, leading to grades or degrees of certainty or possibility attached to the conclusions. This accords well with the desire to accommodate imprecise, incomplete and faulty input data, and nonetheless to arrive—as humans do—at meaningful results, however provisional. For historical reasons, probabilistic methods are the best-known and the oftenest attempted, although they form a small and not particularly suitable sub-set of the methods available. This paper displays the probabilistic rules in their proper perspective in the wider canvas, dwelling on some of the inherent relationships among the various operators which have come to light. For this purpose, the Checklist Paradigm is described in some detail, providing a unifying framework within which these relationships can be understood. Meanwhile, the valid modes of reasoning are increased from the classical two to a total of four.
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Dates et versions

hal-04556505 , version 1 (23-04-2024)

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  • HAL Id : hal-04556505 , version 1

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Wyllis Bandler, Ladislav J. Kohout. Probabilistic vs. fuzzy production rules in expert systems. Bulletin pour les sous-ensembles flous et leurs applications, 1983, 14, pp.105--114. ⟨hal-04556505⟩
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