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Aggregation Operators and Distributivity Equations

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Artificial Intelligence: Theory and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 973))

Abstract

Aggregation operators are an important mathematical tool in a number of areas and disciplines of both pure and applied mathematics. For both theoretical and practical reasons, aggregation operators with an annihilator and aggregation operators with a neutral element are of special interest for researchers. The issue of distributivity of aggregation operators is crucial for many different areas such as decision making theory and integration theory. This chapter covers the characterization of all pairs (FG) of aggregation operators that satisfy distributivity law, on both whole and restricted domains, where F is a T-uninorm in \(\mathsf {U}_{\max }\) or a nullnorm with the annihilator \(a\in ]0,1[\), and G is a t-conorm or a uninorm from the classes \(\mathsf {U}_{\min }\) or \(\mathsf {U}_{\max }\).

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Acknowledgements

The authors acknowledge financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia.

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Correspondence to Ivana Štajner-Papuga .

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Jočić, D., Štajner-Papuga, I. (2021). Aggregation Operators and Distributivity Equations. In: Pap, E. (eds) Artificial Intelligence: Theory and Applications. Studies in Computational Intelligence, vol 973. Springer, Cham. https://doi.org/10.1007/978-3-030-72711-6_7

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