Abstract
The Successive Likelihood Index Method establishes the degree of liability, and therefore the corresponding compensation, of the various errors that have caused an accident. From an expert judgment, the successive likelihood index of each error is calculated by a weighted arithmetic mean of their opinions. In this work we have considered other averaging functions for aggregating this information and we have studied their behavior. In particular, we have studied in detail the case of power means applied to the accident of the oil tanker Aegean Sea.
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Acknowledgment
The research in this communication has been supported in part by MINECO-TIN2014-59543-P and by PCTI-Estancias de personal investigador en empresas del Principado de Asturias. Their financial supports are gratefully acknowledged.
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Torres-Manzanera, E., Montes, S., Díaz, I., Zapico, L., Gil, B. (2018). Power Means in Success Likelihood Index Method. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_39
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