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Penalty-Based Data Aggregation in Real Normed Vector Spaces

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 981))

Abstract

The problem of penalty-based data aggregation in generic real normed vector spaces is studied. Some existence and uniqueness results are indicated. Moreover, various properties of the aggregation functions are considered.

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Acknowledgments

The contribution of L. Coroianu was supported by a grant of Ministry of Research and Innovation, CNCS-UEFISCDI, project number PN-III-P1-1.1-PD-2016-1416, within PNCDI III. M. Gagolewski acknowledges the support by the Czech Science Foundation through the project No. 18-06915S.

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Correspondence to Lucian Coroianu .

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Coroianu, L., Gagolewski, M. (2019). Penalty-Based Data Aggregation in Real Normed Vector Spaces. In: Halaš, R., Gagolewski, M., Mesiar, R. (eds) New Trends in Aggregation Theory. AGOP 2019. Advances in Intelligent Systems and Computing, vol 981. Springer, Cham. https://doi.org/10.1007/978-3-030-19494-9_15

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