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Power Means in Success Likelihood Index Method

dc.contributor.authorTorres Manzanera, Emilio 
dc.contributor.authorMontes Rodríguez, Susana 
dc.contributor.authorDíaz Rodríguez, Susana Irene 
dc.contributor.authorZapico, Lucía
dc.contributor.authorGil, Baltasar
dc.date.accessioned2017-10-10T09:26:21Z
dc.date.available2017-10-10T09:26:21Z
dc.date.issued2017
dc.identifier.isbn978-3-319-66826-0
dc.identifier.isbn978-3-319-66827-7
dc.identifier.urihttp://hdl.handle.net/10651/43824
dc.descriptionEUSFLAT- 2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw (Poland)spa
dc.description.abstractThe 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 Seaspa
dc.format.extentp. 430-441spa
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.ispartofAdvances in Fuzzy Logic and Technology 2017. Proceedings of EUSFLAT- 2017spa
dc.titlePower Means in Success Likelihood Index Methodspa
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-319-66827-7_39
dc.relation.publisherversionhttp://doi.org/10.1007/978-3-319-66827-7_39spa


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