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Fuzziness And Clausal Logic

Wan Ahmad Tajuddin Wan Abdullah, (1986) Fuzziness And Clausal Logic. Malaysian Journal of Computer Science, 2 . pp. 17-22. ISSN 0127-9084

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Affiliations

University of Malaya

Abstract

A functional interpretation of Horn clauses is used as a formalism to incorporate uncertainty in Prolog-like logic programming languages. This formalism, when used with a probabilistic or possibilistic fuzzy model, enables the documentation of alternative beliefs. Fuzziness in clausal logic also brings various other benefits like the modelling of memory-probing and the treatment of incompelete knowledge.

Item Type:Journal
Additional Information:This note was added by the search_and_modify.pl script.
Subjects:Q Science, Computer Science
ID Code:678

Clocksin, W.F. and Mellish, C.S. Programming in Prolog, Springer,Verlag, Heidelberg, 1981.

Efstathiou, J. Report on meeting of Alvey IKBS Special Interest Group on Reasoning Under Uncertainty, London, 1984.

Kowaiski, R. Logic for Problem Solving, Elsevier Science Publishing Co., Amsterdam, 1979.

Kowaiski, R. Imperial College Inaugural Lecture, London, 1985.

Mamdani, E.H. and Efstathiou, H.J. Inference Under Uncertainty, in the report on the Alvey IKBS in-ference Research Theme Workshop I, London, 1984.

Shepherdson, J.C.,Negation as Failure Report on the Alvey IKBS Inference Research Theme Workshop I, London, 1984.

Torsun, I.S. Knowledge Representation An Overview. Report on the 2nd Alvey Workshop on Architectures for Large Knowledge Bases, Manchester, 1984.

Zadeh, L.A. A Theory of Approximate Reasoning. Machine Intelligence 9, J.E. Hayes, D. Michie, and L.I. Kulich, eds., Wiley, New York, 1979.

Zadeh, L.A. Commonsense Knowledge Representation Based on Fuzzy Logic. Computer Vol 16 No. 10, 1983.

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