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Metasets, Intuitionistic Fuzzy Sets and Uncertainty

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Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7894))

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Abstract

Metaset is a new concept of set with partial membership relation. It is directed towards computer implementations and applications. The degrees of membership for metasets are expressed as binary sequences and they may be evaluated as real numbers too.

The forcing mechanism discussed in this paper is used to assign certainty values to sentences involving metasets. It turns out, that for a sentence involving finite first order metasets only its certainty value complements the certainty value of its negation. This is not true in general: sentences expressing properties of metasets may have positive uncertainty value. We supply an example of a sentence which is totally uncertain.

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References

  1. Atanassov, K.T.: Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems 20, 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  2. Cohen, P.: The Independence of the Continuum Hypothesis 1. Proceedings of the National Academy of Sciences of the United States of America 50, 1143–1148 (1963)

    Article  MathSciNet  Google Scholar 

  3. Jech, T.: Set Theory: The Third Millennium Edition, Revised and Expanded. Springer, Heidelberg (2006)

    Google Scholar 

  4. Kunen, K.: Set Theory, An Introduction to Independence Proofs. Studies in Logic and Foundations of Mathematics, vol. 102. North-Holland Publishing Company, Amsterdam (1980)

    MATH  Google Scholar 

  5. Starosta, B.: Application of Meta Sets to Character Recognition. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS (LNAI), vol. 5722, pp. 602–611. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Starosta, B.: Metasets: A New Approach to Partial Membership. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS (LNAI), vol. 7267, pp. 325–333. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Starosta, B.: Representing Intuitionistic Fuzzy Sets as Metasets. In: Atanassov, K.T., et al. (eds.) Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Foundations, vol. I, pp. 185–208. Systems Research Institute, Polish Academy of Sciences, Warsaw (2010)

    Google Scholar 

  8. Starosta, B.: Fuzzy Sets as Metasets. In: Proc. of XI International PhD Workshop (OWD 2009), Conference Archives PTETIS, vol. 26, pp. 11–15 (2009)

    Google Scholar 

  9. Starosta, B., Kosiński, W.: Meta Sets – Another Approach to Fuzziness. In: Seising, R. (ed.) Views on Fuzzy Sets and Systems. STUDFUZZ, vol. 243, pp. 509–532. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Starosta, B., Kosiński, W.: Metasets, Certainty and Uncertainty. In: Atanassov, K.T., et al. (eds.) Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Systems Research Institute, Polish Academy of Sciences, Warsaw (in printing, 2013)

    Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

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Starosta, B., Kosiński, W. (2013). Metasets, Intuitionistic Fuzzy Sets and Uncertainty. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38658-9_35

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  • DOI: https://doi.org/10.1007/978-3-642-38658-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38657-2

  • Online ISBN: 978-3-642-38658-9

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