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An abstract mechanism for handling uncertainty

  • 3. Fuzzy Sets
  • Conference paper
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Uncertainty in Knowledge Bases (IPMU 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

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Abstract

Fril is an AI language incorporating a powerful mechanism for handling uncertainty in knowledge-based applications. It is implemented as a compiler producing code for an abstract machine. In this paper, we outline the features of the abstract machine used to handle uncertainty and illustrate their operation by reference to a simple example.

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References

  1. Baldwin J.F. (1987) “Support Logic Programming”, in Fuzzy Sets — Theory and Applications (Jones A.I. et al, eds) Reidel, Dordrecht-Boston, 133–151.

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  2. Baldwin J.F, Martin T.P, Pilsworth B.W. (1988) FrilManual (2nd Edition) Fril Systems Ltd, Bristol ITeC, St.Annes, Bristol BS4 4AB, United Kingdom.

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  3. Martin T.P., Baldwin J.F. (1990) “The Fril Language and its Implementation”, ITRC Report, University of Bristol; to be published

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  4. Warren D.H.D. (1983) “An Abstract Prolog Instruction Set”, Tech.Note 903 SRI International.

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  5. Baldwin J.F. (1990) “Computational Models of Uncertainty Reasoning in Expert Systems and AI”, J.Comp.Math.Applic. 9 (1990), 105–119

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  6. Martin T.P,Baldwin J.F. (1989) “Fuzzy Sets in Fril”, Fuzzy Systems & Signals, AMSE Monographs (Series A) 41–50

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  7. Baldwin J.F. (1990) “Combining Evidences for Evidential Reasoning”, Int.J.Intelligent Systems (to appear).

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Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Martin, T.P., Baldwin, J.F. (1991). An abstract mechanism for handling uncertainty. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028096

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  • DOI: https://doi.org/10.1007/BFb0028096

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

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