Abstract
In the few past years, decomposition integrals show a prolific interest of researchers. Some modifications and generalizations of these integrals were proposed, including the so-called minimax integrals. In the presented work, we introduce a new generalization of decomposition integrals based on set-based extended aggregation functions, which unifies the classical decomposition integrals and the minimax integrals into one framework of integrals called S-decomposition integrals. Some examples are given and future research outlined.
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Acknowledgements
The author was supported by the Slovak Research and Development Agency under the contract no. APVV-18-0052. Also the support of the grant VEGA 1/0036/23 is kindly announced.
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Šeliga, A. (2023). On a New Generalization of Decomposition Integrals. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2023. Lecture Notes in Computer Science(), vol 13890. Springer, Cham. https://doi.org/10.1007/978-3-031-33498-6_6
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