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Towards fuzzy conceptual graph programs

  • CG Programming (Continued)
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1115))

Abstract

Fuzzy conceptual graphs (CGS) are formulated by means of fuzzy truth values in order to allow them to express uncertain and imprecise information in a more appropriate and flexible manner than is possible by a real number based approach. Corresponding projection and other related operators are defined and their properties investigated. These FCGs and operators provide the basis on which FCG programs with declarative semantics and a sound modus ponens inference rule are developed.

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References

  1. J. F. Baldwin, T. P. Martin and B. W. Pilsworth (1995), Fril-Fuzzy and Evidential Reasoning in Artificial Intelligence, John Wiley and Son.

    Google Scholar 

  2. B. C. Ghosh and V. Wuwongse (1995), “A direct proof procedure for definite conceptual graph programs”, in Ellis, Levison, Rich and Sowa (eds.), Conceptual Structures: Applications, Implementation and Theory, LNAI # 954, Springer-Verlag, pp. 158–172.

    Google Scholar 

  3. B. C. Ghosh and V. Wuwongse (1995), “ Conceptual programs and their declarative semantics”, IEICE Trans. Information and Systems, Vol. E78-D, No. 9, pp. 1208–1217.

    Google Scholar 

  4. P. Magrez and P. Smets (1989), “Fuzzy modus ponens: A new model suitable for applications in knowledge-based systems”, Int. J. Intelligent Systems, Vol. 4, pp. 181–200.

    Google Scholar 

  5. S. Morton (1987), Conceptual Graphs and Fuzziness in Artificial Intelligence, Ph.D. Thesis, University of Bristol.

    Google Scholar 

  6. M. Mukaidono, Z. Shen and L. Ding (1989), “Fundamentals of fuzzy Prolog”, Int. J. Approximate Reasoning, Vol. 3, pp.179–193.

    Google Scholar 

  7. J. F. Sowa (1984), Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  8. V. Wuwongse and M. Manzano (1993), “Fuzzy conceptual graphs”, in Mineau and Moulin (eds.), Conceptual Graphs for Knowledge Representation, LNAI # 699, Springer-Verlag, pp. 430–449.

    Google Scholar 

  9. L. A. Zadeh (1975), “Fuzzy sets”, Information and Control, Vol. 8, pp. 338–353.

    Google Scholar 

  10. L. A. Zadeh (1988), “Fuzzy logic”, IEEE Computer, Vol. 21, No. 4.

    Google Scholar 

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Peter W. Eklund Gerard Ellis Graham Mann

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© 1996 Springer-Verlag Berlin Heidelberg

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Wuwongse, V., Tru, C.H. (1996). Towards fuzzy conceptual graph programs. In: Eklund, P.W., Ellis, G., Mann, G. (eds) Conceptual Structures: Knowledge Representation as Interlingua. ICCS 1996. Lecture Notes in Computer Science, vol 1115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61534-2_17

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  • DOI: https://doi.org/10.1007/3-540-61534-2_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61534-7

  • Online ISBN: 978-3-540-68730-6

  • eBook Packages: Springer Book Archive

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