Genetic fuzzy modelling of li-ion batteries through a combination of theta-DEA and knowledge-based preference ordering

dc.contributor.author	Echevarría Cartaya, Yuviny
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Blanco Viejo, Cecilio José
dc.date.accessioned	2017-02-22T10:34:05Z
dc.date.available	2017-02-22T10:34:05Z
dc.date.issued	2016
dc.identifier.isbn	9783319446356
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/40280
dc.format.extent	p. 310-320
dc.language.iso	eng
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988553413&partnerID=40&md5=4afe0b69a30f614589d2fdde82c1eead
dc.title	Genetic fuzzy modelling of li-ion batteries through a combination of theta-DEA and knowledge-based preference ordering
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-44636-3_29
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-44636-3_29

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