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First-order fuzzy logic

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Abstract

This paper is an attempt to develop the many-valued first-order fuzzy logic. The set of its truth, values is supposed to be either a finite chain or the interval 〈0, 1〉 of reals. These are special cases of a residuated lattice 〈L, ∨, ∧, ⊗, →, 1, 0〉. It has been previously proved that the fuzzy propositional logic based on the same sets of truth values is semantically complete. In this paper the syntax and semantics of the first-order fuzzy logic is developed. Except for the basic connectives and quantifiers, its language may contain also additional n-ary connectives and quantifiers. Many propositions analogous to those in the classical logic are proved. The notion of the fuzzy theory in the first-order fuzzy logic is introduced and its canonical model is constructed. Finally, the extensions of Gödel's completeness theorems are proved which confirm that the first-order fuzzy logic is also semantically complete.

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References

  1. J. F. Baldwin, Fuzzy logic and fuzzy reasoning, International Journal of Man-Machine Studies 11 (1979), pp. 465–480.

    Google Scholar 

  2. C. C. Chang, H. J. Keisler, Continuous Model Theory, Princeton University Press, Princeton 1966.

    Google Scholar 

  3. C. C. Chang, H. J. Keisler, Model Theory, North-Holland, Amsterdam 1973.

    Google Scholar 

  4. D. Dubois, H. Prade, Fuzzy Sets and Systems. Theory and Applications, Academic Press, New York, 1980.

    Google Scholar 

  5. B. R. Gainess, Foundations of fuzzy reasoning, International Journal of Man-Machine Studies 8 (1976), pp. 623–668.

    Google Scholar 

  6. E. Giles, A formal system for fuzzy reasoning. Fussy Sets and Systems 2 (1979), pp. 233–257.

    Article  Google Scholar 

  7. J. A. Gougen, The logic of inexact concepts, Synthese 19 (1968–69), pp. 325–373.

    Google Scholar 

  8. J. A. Goguen, Concept representation in natural and artificial languages: axioms, extensions and applications for fuzzy sets, International Journal of Man-Machine Studies 6 (1974), pp. 513–561.

    Google Scholar 

  9. S. Gottwald, Set theory for fuzzy sets of higher level, Fussy Sets and Systems 2 (1979), pp. 125–151.

    Article  Google Scholar 

  10. M. Katz, Controlled-Error Theories of Proximity and Dominance, in: H.J. Skala, S. Termini, E. Trillas (eds.), Aspects of Vagueness, D. Reidel, Dordecht 1984.

    Google Scholar 

  11. L. T. Kóczy, M. Hajnal, A new attempt to axiomatize fuzzy algebra with an application example, Probl. Control and Inf. Theory 6 (1977), pp. 47–66.

    Google Scholar 

  12. V. Novák, Fuzzy Sets and their Applications, SNTL, Prague 1985 — in Czech.

    Google Scholar 

  13. J. Pavelka, On fuzzy logic, Zeitschrift fur mathematik Logik und Grundlagen der Mathematic 25 (1979), pp. 45–52; 119–134; 447–464.

    Google Scholar 

  14. H. Rasiowa, R. Sikorski, The Mathematics of Meta-mathematics, PWN, Warszawa 1963.

    Google Scholar 

  15. J. R. Shoenfield, Mathematical Logic, Addison-Wesley, New York 1967.

    Google Scholar 

  16. L. A. Zadeh, The concept of a linguistic variable and its applications to approximate reasoning, Inf. Sci. 8 (1975), 199–257; pp. 301–357; 9 (1975), pp. 43–80.

    Article  Google Scholar 

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Novák, V. First-order fuzzy logic. Stud Logica 46, 87–109 (1987). https://doi.org/10.1007/BF00396907

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  • DOI: https://doi.org/10.1007/BF00396907

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