Abstract
For representation of imprecise knowledge, conceptual graphs (CGs) are extended by introduction of fuzzy set theory into the components concepts and conceptual relations. The fuzzy operator
, operations such as join, maximal join, projection are defined and basic inference rules established.
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J.F. Baldwin and S.Q. Zhou (1984), “A fuzzy relational inference language”, Fuzzy Sets and Systems, Vol. 14.
S. Chen (1988), “A new approach to handling fuzzy decision making problems”, IEEE Trans. Syst. Man., Cybern., Vol. 18, No. 6.
S. Chen, J. Ke and J. Chang (1990), “Knowledge representation using fuzzy Petri nets”, IEEE Trans. Knowledge and Data Engineering, Vol. 2, No. 3.
D. Dubois (1989), “Fuzzy knowledge in an artificial intelligence system for job-shop scheduling”, in G.W. Evans et.al. (eds.), Applications of Fuzzy Set Methodologies in Industrial Engineering, Elsevier.
J. Fargues, M. Landau, A. Duguord and L. Catach (1986), “Conceptual graphs for semantics and knowledge processing”, IBM J. Res. Development, Vol. 30, No. 1.
I. Graham and P.L. Jones (1987), “A theory of fuzzy frames”, BUSEFAL (LSI_IRIT, Universite Paul Sabatier, Toulouse), Nos. 31 and 32.
H. Jia (1992), “A Fuzzy Conceptual Graph Inference Engine”, M.Eng. thesis, Asian Institute of Technology.
C.G. Looney (1988), “Fuzzy Petri nets for rule-based decision-making”, IEEE Trans. Syst., Man., Cyber., Vol. 18, No. 1.
S. Morton (1987), “Conceptual Graphs and Fuzziness in Artificial Intelligence”, Ph.D. thesis, University of Bristol.
C.S. Peirce (1960), Collected Papers of Charles Sanders Peirce, A.W. Burks (ed.), Vol. 4, pp. 320–410, Harvard University Press, Cambridge, MA.
E.A. Rundensteiner and W. Bandler (1986), “The equivalence of knowledge representation schemata: 'semantic networks’ and’ fuzzy relational products'”, Proc. of NAFIPS (North-Amer. Fuzzy Inform. Proces. Soc.) Conf., New Orleans.
J.F. Sowa (1984), Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading, MA.
J.F. Sowa (1990), “Knowledge representation in databases, expert systems, and natural language” in R.A. Meersman, et.al. (eds), Artificial Intelligence in Databases and Information Systems (DS-3), North-Holland Publishing, Amsterdam.
J.F. Sowa (1990), “Towards the expressive power of natural language”, Proc. of the Fifth Annual Workshop on Conceptual Graphs, Boston.
J.F. Sowa (1991), “Conceptual analysis as a basis for knowledge acquisition” in R.R. Hoffman (ed), The cognition of experts: Psychological research and empirical AI, Springer-Verlag, Berlin.
L.A. Zadeh (1965), “Fuzzy sets”, Information and Control, Vol. 8.
H.J. Zimmerman (1984), Fuzzy Set Theory and Its Applications, Kluwer-Nijhoff Publishing, MA.
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© 1993 Springer-Verlag Berlin Heidelberg
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Wuwongse, V., Manzano, M. (1993). Fuzzy conceptual graphs. In: Mineau, G.W., Moulin, B., Sowa, J.F. (eds) Conceptual Graphs for Knowledge Representation. ICCS 1993. Lecture Notes in Computer Science, vol 699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56979-0_24
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DOI: https://doi.org/10.1007/3-540-56979-0_24
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