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Power Means in Success Likelihood Index Method
dc.contributor.author | Torres Manzanera, Emilio | |
dc.contributor.author | Montes Rodríguez, Susana | |
dc.contributor.author | Díaz Rodríguez, Susana Irene | |
dc.contributor.author | Zapico, Lucía | |
dc.contributor.author | Gil, Baltasar | |
dc.date.accessioned | 2017-10-10T09:26:21Z | |
dc.date.available | 2017-10-10T09:26:21Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-3-319-66826-0 | |
dc.identifier.isbn | 978-3-319-66827-7 | |
dc.identifier.uri | http://hdl.handle.net/10651/43824 | |
dc.description | EUSFLAT- 2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw (Poland) | spa |
dc.description.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 | spa |
dc.format.extent | p. 430-441 | spa |
dc.language.iso | eng | spa |
dc.publisher | Springer | spa |
dc.relation.ispartof | Advances in Fuzzy Logic and Technology 2017. Proceedings of EUSFLAT- 2017 | spa |
dc.title | Power Means in Success Likelihood Index Method | spa |
dc.type | conference output | spa |
dc.identifier.doi | 10.1007/978-3-319-66827-7_39 | |
dc.relation.publisherversion | http://doi.org/10.1007/978-3-319-66827-7_39 | spa |
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