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Implication Functions Generated Using Functions of One Variable

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Advances in Fuzzy Implication Functions

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 300))

Abstract

This chapter presents a survey of implication functions generated using an appropriate function of one variable including f-implications and g-implications introduced by Yager, h-generated implications introduced by Jayaram, h-implications and their generalizations introduced by Massanet and Torrens, I f and I g implications introduced by Smutná-Hliněná, and Biba.

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Correspondence to Dana Hliněná .

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Hliněná, D., Kalina, M., Král’, P. (2013). Implication Functions Generated Using Functions of One Variable. In: Baczyński, M., Beliakov, G., Bustince Sola, H., Pradera, A. (eds) Advances in Fuzzy Implication Functions. Studies in Fuzziness and Soft Computing, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35677-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-35677-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35676-6

  • Online ISBN: 978-3-642-35677-3

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