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About the intended meaning of a linguistic negation

  • Daniel Pacholczyk
Knowledge Representation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1323)

Abstract

In this paper, we present a Model dealing with Linguistic Negation of Nuanced Properties. Our Approach to Negative Information is based upon a Similarity Relation between Nuanced Properties. A Choice Strategy allows the User to explain more explicitly the intended meaning of Linguistic Negations. This Model improves the abilities in Classical Knowledge Management in that a premise or conclusion of a Classical Rule can include Linguistic Negations. Moreover, Default Reasoning can be extended through a Linguistic Approach to Negative Information.

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References

  1. 1.
    Baldwin J. F., Pilsworth B. W.: Axiomatic approach to implication for approximate reasoning with fuzzy logic. Fuzzy Sets and Systems 3 (1980) 193–219Google Scholar
  2. 2.
    Culioli A.: Pour une linguistique de l'énonciation: Operations et Représentations. Tome 1 Ophrys Eds. Paris (1991)Google Scholar
  3. 3.
    Desmontils E., Pacholczyk D.: Apport de la théorie des ensembles flous à la modélisation declarative en Synthèsed'images. Proc. LFA'96 Nancy (1996) 333–334Google Scholar
  4. 4.
    Desmontils E., Pacholczyk D.: Modélisation declarative en Synthese d'images: traitement semi-qualitatif des propriétés imprécises ou vagues. Proc. AFIG'96 Dijon (1996) 173–181Google Scholar
  5. 5.
    Ducrot O., Schaeffer J.-M. et al.: Nouveau dictionnaire encyclopédique des sciences du langage. Seuil Paris (1995)Google Scholar
  6. 6.
    Horn L.R.: A Natural History of Negation. The Univ. of Chicago Press (1989)Google Scholar
  7. 7.
    Ladusaw W.A.: Negative Concord and≪ Made of Judgement ≪. Negation ≫, a notion Focus. H. Wansing, W. de Gruyter eds. Berlin (1996) 127–144Google Scholar
  8. 8.
    Lenzen W.: Necessary Conditions for Negation Operators. Negation, a notion in Focus. H. Wansing, W. de Gruyter eds. Berlin (1996) 37–58Google Scholar
  9. 9.
    Muller C.: La négation en franrçais. Publications romanes et françaises Genève (1991)Google Scholar
  10. 10.
    Pacholczyk D.: Contribution au traitement logico-symbolique de la connaissance. Thèse d'Etat Paris 6 (1992)Google Scholar
  11. 11.
    Pearce D.: Reasoning with negative information II: Hard Negation, Strong Negation and Logic Programs. LNAI 619 Berlin (1992) 63–79Google Scholar
  12. 12.
    Pearce D., Wagner G.: 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 (1990) 430–453Google Scholar
  13. 13.
    Reiter R.: A Logic for Default Reasoning. Artificial Intelligence 13 (1980) 81–132Google Scholar
  14. 14.
    Ruspini E. H.: The Semantics of vague knowledge. Rev. int. De Systémique 3:4 (1989) 387–420Google Scholar
  15. 15.
    Scheffe P.: On foundations of reasoning with uncertain facts and vague concepts. Fuzzy Reasoning and its Applications (1981) 189–216Google Scholar
  16. 16.
    Torra V.: Negation Functions Based Semantics for Ordered Linguistic Labels. Int. Jour. of Intelligent Systems 11 (1996) 975–988Google Scholar
  17. 17.
    Tversky A.: Features of Similarity. Psychological Review 4 ( 1977)Google Scholar
  18. 18.
    Zadeh L.A.: Fuzzy Sets. Inform. and Control 8 (1965) 338–353Google Scholar
  19. 19.
    Zadeh L.A.: PRUF-A meaning representation language for natural languages. Int. J. Man-Machine Studies 10:4 (1978) 395–460Google Scholar
  20. 20.
    Zadeh L.A.: Similarity relations and Fuzzy orderings. Selected Papers of L. A. Zadeh 3 (1987) 387–420Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Daniel Pacholczyk
    • 1
  1. 1.LERIAUniversité d'AngersAngers Cedex 01France

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