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Associative Globally Monotone Extended Aggregation Functions

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 349))

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Abstract

In this contribution we deal with a global monotonicity condition for the class of associative extended aggregation functions. We insist on the idea that global monotonicity can be taken as a minimum requirement for an extended aggregation function to be considered consistent.

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Notes

  1. 1.

    Reflexive and transitive.

  2. 2.

    A t-norm is a two-variable function \(T:[0,1]^{2}\longrightarrow [0, 1]\) which is associative, symmetric, increasing in each variable and has neutral 1.

  3. 3.

    The minimum t-norm (\(T(x_{1},x_{2})=min(x_{1},x_{2}))\) is the only idempotent t-norm.

  4. 4.

    A t-conorm is a two-variable function \(S:[0, 1]^{2}\longrightarrow [0, 1]\) which is associative, symmetric, increasing in each variable and has neutral 0.

  5. 5.

    The maximum t-conorm (\(S(x_{1},x_{2})=max(x_{1},x_{2}))\) is the only idempotent t-conorm.

  6. 6.

    A mixed aggregation function exhibits different types of behavior on different parts of the domain.

  7. 7.

    A uninorm is a two-variable function \(U:[0,1]^{2}\longrightarrow [0, 1]\) which is associative, symmetric, increasing in each variable and has neutral e belonging to [0, 1].

  8. 8.

    A nullnorm is a two-variable function \(V:[0, 1]^{2}\longrightarrow [0, 1]\) which is associative, symmetric, increasing in each variable and has absorbent a belonging to [0, 1].

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Acknowledgments

The authors have written this contribution in tribute to Prof. Claudio Moraga in recognition of his important and extensive research in many areas of Soft Computing. This contribution has been partially supported by the Spanish Grant TIN2013-42795-P.

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Correspondence to Tomasa Calvo .

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Calvo, T., Mayor, G., Suñer, J. (2017). Associative Globally Monotone Extended Aggregation Functions. In: Seising, R., Allende-Cid, H. (eds) Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing. Studies in Fuzziness and Soft Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-48317-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-48317-7_18

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