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Multiple Fuzzy Implications and Their Generating Methods

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Quantitative Logic and Soft Computing 2016

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 510))

Abstract

By means of multiple iteration about the first variable of a known fuzzy implication, a new fuzzy implication is introduced. It is proved that the new implication preserves some important properties of the original implication. These properties include the identity principle (IP), the left neutrality property (NP), the exchange principle (EP), and so on. Based on this idea, by considering multiple iteration about the second variable of the known fuzzy implications, another new kind of fuzzy implications are similarly introduced, main properties of this kind of new implications are analyzed. This work is beneficial to enhance applications of fuzzy implications in other fields.

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References

  1. Baczynski, M., Jayaram, B.: On the characterizations of (S, N)-implications. Fuzzy Sets Syst. 158, 1713–1727 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  2. Baczynski, M., Jayaram, B.: Fuzzy Implications. Springer, Heidelberg (2008)

    MATH  Google Scholar 

  3. Benjamin, C.B.: On interval fuzzy negations. Fuzzy Sets Syst. 161, 2290–2313 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  4. Fodor, J., Torrens, J.: An overview of fuzzy logic connectives on the unit interval. Fuzzy Sets Syst. 281, 183–187 (2015)

    Article  MathSciNet  Google Scholar 

  5. Gottwald, S.: A Treatise on Many-Valued Logic. Research Studies Press, Baldock (2001)

    MATH  Google Scholar 

  6. Jayaram, B., Mesiar, R.: On special fuzzy implications. Fuzzy Sets Syst. 160, 2063–2084 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  7. Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer, Dordrecht (2000)

    Book  MATH  Google Scholar 

  8. Li, F., Pei, D.W.: Multiple fuzzy implications: a novel method to generate fuzzy implications. Submitted for publication (2016)

    Google Scholar 

  9. Pei, D.W.: \(R_0\) implication: characteristics and applications. Fuzzy Sets Syst. 131, 297–302 (2002)

    Article  MATH  Google Scholar 

  10. Pei, D.W.: T-Norm Based Fuzzy Logics: Theory and Applications. Science Press, Beijing (2013) (in Chinese)

    Google Scholar 

  11. Vemuri, N.R., Jayaram, B.: The \(\otimes \)-composition of fuzzy implications: closures with respect to properties, powers and families. Fuzzy Sets Syst. 275, 58–87 (2015)

    Article  MathSciNet  Google Scholar 

  12. Vemuri, N.R., Jayaram, B.: Homomorphisms on the monoid of fuzzy implications and the iterative functional equation \(I(x, I(x, y)) = I(x, y)\). Inf. Sci. 298, 1–21 (2015)

    Article  MathSciNet  Google Scholar 

  13. Wang, G.J.: Non-classical Mathematical Logic and Approximate Reasoning, 2nd edn. Science Press, Beijing (2008) (in Chinese)

    Google Scholar 

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 11171308; 61379018; 61472471; 51305400).

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Correspondence to Dao-Wu Pei .

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Li, F., Pei, DW. (2017). Multiple Fuzzy Implications and Their Generating Methods. In: Fan, TH., Chen, SL., Wang, SM., Li, YM. (eds) Quantitative Logic and Soft Computing 2016. Advances in Intelligent Systems and Computing, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-46206-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-46206-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46205-9

  • Online ISBN: 978-3-319-46206-6

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