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On Revising Fuzzy Belief Bases

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Abstract

We look at the problem of revising fuzzy belief bases, i.e., belief base revision in which both formulas in the base as well as revision-input formulas can come attached with varying degrees. Working within a very general framework for fuzzy logic which is able to capture certain types of uncertainty calculi as well as truth-functional fuzzy logics, we show how the idea of rational change from “crisp” base revision, as embodied by the idea of partial meet (base) revision, can be faithfully extended to revising fuzzy belief bases. We present and axiomatise an operation of partial meet fuzzy base revision and illustrate how the operation works in several important special instances of the framework. We also axiomatise the related operation of partial meet fuzzy base contraction.

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References

  1. ALCHOURRÓN, C., P. GÄRDENFORS, and D. MAKINSON, ‘On the logic of theory change: Partial meet contraction and revision functions’, Journal of Symbolic Logic 50:510–530, 1985.

    Google Scholar 

  2. ALCHOURRÓN, C., and D. MAKINSON, ‘On the logic of theory change: Contraction functions and their associated revision functions’, Theoria 48:14–37, 1982.

    Google Scholar 

  3. BIRKHOFF, G., Lattice Theory, American Math. Society, Providence, Rhode Island, 1967.

  4. DUBOIS, D., and H. PRADE, ‘Belief change and possibility theory’, P. Gärdenfors. Ed, Belief Revision, 142–182, Cambridge University Press, 1992.

  5. DUBOIS, D., and H. PRADE, ‘A synthetic view of belief revision with uncertain inputs in the framework of possibility theory’, International Journal of Approximate Reasoning 17(2-3):295–324, 1997.

    Article  Google Scholar 

  6. DUBOIS, D., J. LANG, and H. PRADE, ‘Possibilistic logic’, in: Handbook of Logic in Artificial Intelligence and Logic Programming, Vol. 3, Clarendon Press, 1994.

  7. GÄRDENFORS, P., Knowledge in Flux, MIT Press, 1988.

  8. GERLA, G., ‘Inferences in probability logic’, Artificial Intelligence 70:33–52, 1994.

    Article  Google Scholar 

  9. GERLA, G., ‘Probability-like functionals and fuzzy logic’, Journal of Mathematical Analysis and Application 216:438–465,1997.

    Article  Google Scholar 

  10. GERLA, G., Fuzzy Logic: Mathematical Tools for Approximate Reasoning,Kluwer Academic Publishers, 2001.

  11. HÁJEK, P., Metamathematics of Fuzzy Logic, Kluwer Academic Publishers,1998.

  12. HÁJEK, P., L. GODO, and F. ESTEVA, ‘Fuzzy logic and probability’, in: Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI’95), 237–244, 1995.

  13. HALPERN, J., ‘Plausibility measures: A general approach for representing uncertainty’, in: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence(IJCAI’01),1474–1483, 2001.

  14. HANSSON, S. O., ‘A dyadic representation of belief’, P. Gärdenfors. Ed, Belief Revision, 89–121, Cambridge University Press, 1992.

  15. HANSSON, S. O., ‘Reversing the Levi identity’, Journal of Philosophical Logic 22:637–669,1992.

    Article  Google Scholar 

  16. HANSSON, S. O., ‘Ten philosophical problems in belief revision’, Journal of Logic and Computation13:37–49, 2003.

    Article  Google Scholar 

  17. HANSSON, S. O., A Textbook of Belief Dynamics, Kluwer Academic Publishers, 1999.

  18. HANSSON, S. O., and R. WASSERMANN, ‘Local change’, Studia Logica 70(1):49–76, 2002.

    Article  Google Scholar 

  19. LEVI, I., ‘Subjunctives, dispositions and chances’, Synthese 34:423–455,1977.

    Article  Google Scholar 

  20. NOVÁK, V., I. PERFILIEVA, and J. MOČKOŘ, Mathematical Principles of Fuzzy Logic, Kluwer Academic Publishers, 1999.

  21. PAVELKA, J., ‘On fuzzy logic I: Many-valued rules of inference, Zeitschrift f. math. Logikund Grundlagen d. Math. 25:45–52, 1979.

    Google Scholar 

  22. ROTT, H., ‘Two dogmas of belief revision’, Journal of Philosophy 97:503–522,2000.

    Google Scholar 

  23. WITTE, R., ‘Fuzzy belief revision’, in: Proceedings of the Ninth International Workshop on Non-Monotonic Reasoning (NMR’02) 311–320, 2002.

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Correspondence to Richard Booth.

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Booth, R., Richter, E. On Revising Fuzzy Belief Bases. Stud Logica 80, 29–61 (2005). https://doi.org/10.1007/s11225-005-6775-5

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