Abstract
The weighted relevance aggregation operator is a modified, flexible version of the general power mean. In this paper we discuss the sensitivity of this operator, namely we give bounds on the change of the output in terms of vector norms of the change of the input variables. We apply these results to characterize to sensitivity of fuzzy signatures which are equipped with these operators in its nodes.
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This research was supported by National Research, Development and Innovation Office (NKFIH) K105529 and K108405.
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Harmati, I.Á., Kóczy, L.T. (2016). On the Sensitivity of the Weighted Relevance Aggregation Operator and Its Application to Fuzzy Signatures. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-40581-0_65
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DOI: https://doi.org/10.1007/978-3-319-40581-0_65
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