Abstract
This paper describes a formalism for representing imprecise knowledge which combines traditional frame-based formalisms with fuzzy logic and fuzzy IF-THEN rules. Inference in this formalism is based on unification and the calculus of fuzzy IF-THEN rules, and lends itself to an efficient implementation.
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References
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook: Theory, implementation and applications, Cambridge (2003)
Koller, D., Pfeffer, A.: Probabilistic frame-based systems. In: Proceedings of AAAI 1998, pp. 580–587 (1998)
Minsky, M.: A framework for representing knowledge. In: Winston, P.H. (ed.) The Psychology of Computer Vision (1975)
Shieber, S.M.: An Introduction to Unification-based Approaches to Grammar. In: CSLI, 4th edn. Lecture Notes Number. Chicago University Press, Chicago, IL (1986)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Zadeh, L.A.: The calculus of fuzzy if-then rules. AI Expert 7(3), 22–27 (1992)
Zimmermann, H.-J.: Fuzzy Set Theory and its Applications. International series in management science/operations research. Kluwer, Boston (1985)
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© 2006 Springer-Verlag Berlin Heidelberg
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Tettamanzi, A.G.B. (2006). A Fuzzy Frame-Based Knowledge Representation Formalism. In: Di Gesú, V., Masulli, F., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2003. Lecture Notes in Computer Science(), vol 2955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10983652_8
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DOI: https://doi.org/10.1007/10983652_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31019-8
Online ISBN: 978-3-540-32683-0
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