Abstract
Penalty-based aggregation functions cover the class of idempotent aggregation functions. Weighted penalty-based aggregation functions considered so far allow to consider different importances of single coordinate inputs, all of them having the same attitude. We introduce a normed penalty function and open penalty-based construction of aggregation functions to consider groups of input coordinates (criteria scores) both with possibly different weights (importances) and attitudes.
This work was supported by the Slovak Research and Development Agency under the contract no. APVV-17-0066 and grant VEGA 1/0468/20.
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Stupňanová, A. (2022). Weighted Penalty-Based Aggregation. In: Harmati, I.Á., Kóczy, L.T., Medina, J., Ramírez-Poussa, E. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems 3. Studies in Computational Intelligence, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-74970-5_7
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DOI: https://doi.org/10.1007/978-3-030-74970-5_7
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