Abstract
In this paper we give upper bounds on the change of the weighted generalized mean aggregation operator via Minkowski’s inequality. Then we apply these results to characterize the sensitivity of fuzzy signatures which equipped with such aggregation operators in their nodes. A sensitivity of a real-life fuzzy signature used for ranking buildings is also examined.
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Harmati, I.Á., Bukovics, Á., Kóczy, L.T. (2015). Sensitivity Analysis of Fuzzy Signatures Using Minkowski’s Inequality. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_45
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DOI: https://doi.org/10.1007/978-3-319-13359-1_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13358-4
Online ISBN: 978-3-319-13359-1
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