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On the Meaning of Fuzziness

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On Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 299))

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Abstract

Interpretation of the basic structures of fuzzy logic, notably that of possibility distribution, is an essential requirement to clarify their value as an important tool in automated reasoning. Despite its evident value, as shown by the multiplicity and importance of its applications, much of the discussion to this day about such notions as “possibility” or the “fuzzy paradigm” typically relies on illustrative examples while failing to provide clarifying insights into important conceptual matters. In this paper we review an interpretation of the basic notions of fuzzy logic in terms of metric and utilitarian notions such as similarity and utility that clarifies major semantic issues while establishing links to existing formal frameworks such as the notion of possible worlds and the theory of metric spaces. We remark that these ideas were present, albeit in an implicit fashion, in the pioneering applications of fuzzy logic to system control. We review also recent extensions of similarity-based interpretations to fuzzy evidence.

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References

  1. Bunge, M.: What is Pseudoscience? The Skeptical Inquirer 9, 36–46 (1984)

    Google Scholar 

  2. Carnap, R.: Logical Foundations of Probability. University of Chicago Press, Chicago (1950)

    MATH  Google Scholar 

  3. Cox, R.T.: Probability, Frequency, and Reasonable Expectation. American Journal of Physics 14(1), 1–13 (1946)

    Article  MathSciNet  MATH  Google Scholar 

  4. Dieudonné, J.A.E.: Foundations of Modern Analysis. Academic Press, New York (1960)

    MATH  Google Scholar 

  5. Dubois, D., Esteva, F., García, P., Godó, L., Prade, H.: A Logical Approach to Interpolation based on Similarity Relations. International Journal of Approximate Reasoning 17, 1–36 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  6. Dubois, D., Lang, J., Prade, H.: Possibilistic Logic. In: Gabbay, D.M., Hogger, C.J., Robinson, J.A. (eds.) Handbook of Logic in AI and Logic Programming, vol. 3. Oxford University Press (1994)

    Google Scholar 

  7. Dubois, D., Prade, H.: The Logical View of Conditioning and its Application to Possibility and Evidence Theories. International Journal of Approximate Reasoning 4(1), 23–46 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  8. Dubois, D., Prade, H., Smets, P.: Responses to Elkan (Didier Dubois, Henri Prade, Philippe Smets). IEEE Expert 9(4), 15–19 (1994)

    Google Scholar 

  9. Elkan, C.: The Paradoxical Success of Fuzzy Logic. IEEE Expert 9, 3–8 (1994)

    Article  Google Scholar 

  10. Entemann, C.W.: Fuzzy logic: Misconceptions and Clarifications. Artificial Intelligence Review 17(1), 65–84 (2002)

    Article  MATH  Google Scholar 

  11. Esteva, F., García, P., Godó, L.: Relating and Extending Approaches to Possibilistic Reasoning. International Journal of Approximate Reasoning 10(4), 311–344 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  12. Esteva, F., García, P., Godó, L., Valverde, L., Ruspini, E.H.: On Similarity Logic and the Generalized Modus Ponens. In: Proceedings of the 1994 IEEE International Conference on Fuzzy Systems, pp. 1423–1427. IEEE Press, Orlando (1994)

    Chapter  Google Scholar 

  13. Godó, L., Esteva, F., García, P., Aguist-Cullel, J.: A Formal Semantic Approach to Fuzzy Logic. In: Proceedings of the 21st International Symposium on Multiple-Valued Logic, pp. 72–79. IEEE Computer Society Press (1991)

    Google Scholar 

  14. Godó, L., Rodríguez, R.O.: Logical Approaches to Fuzzy Similarity-based Reasoning: An Overview. In: Della Riccia, G., Dubois, D., Kruse, R., Lenz, H.-J. (eds.) Preferences and Similarities. CISM Courses and Lectures, vol. 504, pp. 75–128. Springer (2008)

    Google Scholar 

  15. Haack, S.: Deviant Logic, Fuzzy Logic: Beyond the Formalism. The University of Chicago Press, Chicago (1996)

    MATH  Google Scholar 

  16. Halpern, J.Y.: A Counter xample to Theorems of Cox and Fine. Journal of Artificial Intelligence Research 10, 67–85 (1999)

    MathSciNet  MATH  Google Scholar 

  17. Halpern, J.Y.: Cox’s Theorem Revisited. Journal of Artificial Intelligence Research 11, 429–435 (1999)

    MathSciNet  MATH  Google Scholar 

  18. Hughes, G.E., Maxwell, J.C.: A New Introduction to Modal Logic. Routledge, London (1996)

    Book  MATH  Google Scholar 

  19. Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms, Position paper I: Basic Analytical and Algebraic properties. Fuzzy Sets and Systems 143(1), 5–26 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  20. Lindley, D.V.: Scoring Rules and the Inevitability of Probability. International Statistical Review 50, 1–26 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  21. Niiniluoto, I.: Truthlikeness. Reidel, Dordrecht (1987)

    Book  MATH  Google Scholar 

  22. Oddie, G.: Likeness to Truth. Western Ontario Series on Philosophy of Science, vol. 30. Dordrecht, Reidel (1987)

    Google Scholar 

  23. Ruspini, E.H.: Approximate Reasoning: Past, Present, Future. Information Sciences 57/58, 297–317 (1991)

    Google Scholar 

  24. Ruspini, E.H.: On the Semantics of Fuzzy Logic. International Journal of Approximate Reasoning 5, 45–88 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  25. Ruspini, E.H.: Responses to Elkan (Enrique H. Ruspini). IEEE Expert 9(4), 32–33 (1994)

    Google Scholar 

  26. Ruspini, E.H.: Similarity and Implication Between Fuzzy Sets. In: Trillas, E., Bonissone, P.P., Magdalena, L., Kacprzyk, J. (eds.) Combining Experimentation and Theory. STUDFUZZ, vol. 271, pp. 237–246. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  27. Ruspini, E.H., Esteva, F.: Interpretations of Fuzzy Sets. In: Ruspini, E.H., Bonissone, P.P., Pedrycz, W. (eds.) Handbook of Fuzzy Computation. Oxford University Press, Bristol (1998)

    Chapter  Google Scholar 

  28. Saffiotti, A., Konolige, K., Ruspini, E.H.: A Multivalued-logic Approach to Integrating Planning and Control. Artificial Intelligence 76(1-2), 481–526 (1995)

    Article  Google Scholar 

  29. Saffiotti, A., Ruspini, E.H.: Global Team Coordination by Local Computation. In: Proceedings of the European Control Conference (ECC), Porto, Portugal (2001), http://www.aass.oru.se/~asaffio/

    Google Scholar 

  30. Schweizer, B., Sklar, A.: Associative Functions and Abstract Semigroups. Publicationes Mathematicae Debrecen 10, 69–81 (1983)

    MathSciNet  Google Scholar 

  31. Tversky, A.: Features of Similarity. Psychological Review 84, 327–352 (1977)

    Article  Google Scholar 

  32. Tversky, A., Kahneman, D.: Judgment under Uncertainty: Heuristics and Biases. Science 185(4157), 1124–1131 (1974)

    Article  Google Scholar 

  33. Valverde, L.: On the Structure of f-indistinguishability Operators. Fuzzy Sets and Systems 17, 313–328 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  34. Yasunobu, S., Miyamoto, S.: Automatic Train Operation by Predictive Fuzzy Control. In: Sugeno, M. (ed.) Industrial Applications of Fuzzy Logic. Elsevier Science Publishers B.V. (North-Holland), Amsterdam (1985)

    Google Scholar 

  35. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  36. Zadeh, L.A.: Similarity Relations and Fuzzy Orderings. Information Sciences 3, 177–200 (1971)

    Article  MathSciNet  MATH  Google Scholar 

  37. Zadeh, L.A.: Outline of a new Approach to the Analysis of Complex Systems and Decision processes. IEEE Transactions on Systems Man and Cybernetics SMC-3 (1), 28–44 (1973)

    Google Scholar 

  38. Zadeh, L.A.: Fuzzy Logic and its Application to Approximate Reasoning. In: Information Processing 74, Proceedings of IFIP Congress 74, Stockholm, Sweden, August 5-10, pp. 591–594. North-Holland (1974)

    Google Scholar 

  39. Zadeh, L.A.: A Theory of Approximate Reasoning. In: Hayes, J., Michie, D., Mikulich, L.I. (eds.) Machine Intelligence, pp. 149–194. Wiley (1979)

    Google Scholar 

  40. Zadeh, L.A.: Fuzzy Logic. Scholarpedia 3(3), 1766 (2007)

    Article  Google Scholar 

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Ruspini, E.H. (2013). On the Meaning of Fuzziness. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds) On Fuzziness. Studies in Fuzziness and Soft Computing, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35644-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-35644-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35643-8

  • Online ISBN: 978-3-642-35644-5

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