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International Symposium on Methodologies for Intelligent Systems

ISMIS 1997: Foundations of Intelligent Systems pp 467–476Cite as

An intelligent system dealing with negative information

  • Communications Session 6A Intelligent Information Systems
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1325))

Abstract

In this paper, we present an Intelligent System dealing with Linguistic Negation of Nuanced Properties. It is basically founded upon a Similarity Relation between Properties through their corresponding Fuzzy Sets. With the aid of an Interactive Choice Strategy, a User can explain more explicitly the intended meaning of the Negative Information. This Model improves the abilities in Knowledge Management in that premise or conclusion of a Rule can include Linguistic Negations.

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References

  1. J. F. Baldwin, B. W. Pilsworth, Axiomatic approach to implication for approx. reasoning with fuzzy logic, Fuzzy Sets and Systems 3, 193–219, 1980.

    Google Scholar 

  2. V. Brondal, Essais de linguistique générale, Copenhague, 1943.

    Google Scholar 

  3. V. Brondal Les parties du discours: étude sur les catégories linguistiques, EINAR, MUNKSGAARD, Copenhague, 1948.

    Google Scholar 

  4. A. Culioli, Pour une linguistique de l'énonciation: Opérations et Représentations, Tome 1, Ophrys 2ds., Paris, 1991.

    Google Scholar 

  5. E. Desmontils & D. Pacholczyk: Apport de la théorie des ens. flous `a la modélisation déclarative en Synthèse d'images, Proc. LFA'96, 333–334, 1996.

    Google Scholar 

  6. E. Desmontils & D. Pacholczyk. Modélisation déclarative en Synthèse d'images: traitement semi qualitatif des propriétés imprécises ou vagues, Proc. AFIG'96, Dijon, 173–181, 1996.

    Google Scholar 

  7. O. Ducrot & J.-M. Schaeffer et al., Nouveau dictionnaire encyclopédique des sciences du langage, Seuil, Paris, 1995.

    Google Scholar 

  8. D. M. Gabbay, What is Negation in a System ? Logic Colloquium'86, F.R. Drake & J. K. Truss, Amsterdam, 95–112, 1988.

    Google Scholar 

  9. L. Hjelmslev, La catégorie des cas (1), Acta Jutlandica, 1935.

    Google Scholar 

  10. L. Hjelmslev, La catégorie des cas (2), Acta Jutlandica, 1937.

    Google Scholar 

  11. L.R. Horn, A Natural History of Negation, The Univ. of Chicago Press, 1989.

    Google Scholar 

  12. W.A. Ladusaw, Negative Concord and « Made of Judgement », Negation, a notion in Focus, H. Wansing, W. de Gruyter Eds., Berlin, 127–144, 1996.

    Google Scholar 

  13. W. Lenzen, Necessary Conditions for Negation Operators, Negation, a notion in Focus, H. Wansing, W. de Gruyter eds., Berlin, 37–58, 1996.

    Google Scholar 

  14. C. Muller, La négation en français, Public. romanes et françaises, Genève, 1991.

    Google Scholar 

  15. D. Pacholczyk, Contribution au traitement logico-symbolique de la connaissance, Thèse d'Etat, Partie C, Paris 6, 1992.

    Google Scholar 

  16. D. Pacholczyk, A new Approach to Vagueness and Uncertainty, Int. Rev. CC-AI, 9:4,395–436,1992.

    Google Scholar 

  17. D. Pacholczyk, About Linguistic Negation of Nuanced Property in Declarative Modeling in Image Synthesis, Proc. of Int. Conf « 5 th Fuzzy in Dortmund », Lecture Notes in Computer Science, 1226, 229–240, 1997.

    Google Scholar 

  18. D. Pearce, Reasoning with negative information II: Hard Negation, Strong Negation and Logic Programs, LNAI 619, Berlin, 63–79, 1992.

    Google Scholar 

  19. D. Pearce & G. Wagner, Reasoning with negative information I: Hard Negation, Strong Negation and Logic Programs, Language, Knowledge and Intentionality: Perspectives on the Philosophy of J. Hintikka, Acta Philosophica Fennica, 49, Helsinki, 430–453, 1990.

    Google Scholar 

  20. E. H. Ruspini; The Semantics of vague knowledge, Rev. int. de Systémique, 3:4, 387–420, 1989.

    Google Scholar 

  21. P. Scheffe, On foundations of reasoning with uncertain facts and vague concepts, Fuzzy Reasoning and its Applications, 189–216, 1981.

    Google Scholar 

  22. V. Torra, Negation Functions Based Semantics for Ordered Linguistic Labels, Int. Jour. of Intelligent Systems, 975–988, 1996.

    Google Scholar 

  23. A. Tversky, Features of Similarity, Psychological Review, 4, 1977.

    Google Scholar 

  24. L.A. Zadeh, Fuzzy Sets, Information and Control, 8, 338–353, 1965.

    Google Scholar 

  25. L.A. Zadeh, PRUF-A meaning representation language for natural languages, Int. J. Man-Machine Studies, 10: 4, 395–460, 1978.

    Google Scholar 

  26. L. A. Zadeh, Similarity relations and Fuzzy orderings, Selected Papers of L. A. Zadeh, 3, 387–420, 1987.

    Google Scholar 

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Author information

Authors and Affiliations

  1. LERIA, Université d'Angers, 2 Boulevard Lavoisier, F-49045, Angers Cedex 01

    Daniel Pacholczyk

Authors
  1. Daniel Pacholczyk
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Editor information

Zbigniew W. Raś Andrzej Skowron

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© 1997 Springer-Verlag Berlin Heidelberg

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Pacholczyk, D. (1997). An intelligent system dealing with negative information. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1997. Lecture Notes in Computer Science, vol 1325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63614-5_45

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  • DOI: https://doi.org/10.1007/3-540-63614-5_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63614-4

  • Online ISBN: 978-3-540-69612-4

  • eBook Packages: Springer Book Archive

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