Normalization in TOPSIS-based approaches with data of different nature: application to the ranking of mathematical videos

dc.contributor.author	Acuña Soto, C. M.
dc.contributor.author	Liern, V.
dc.contributor.author	Pérez Gladish, Blanca María
dc.date.accessioned	2018-11-27T08:03:06Z
dc.date.available	2018-11-27T08:03:06Z
dc.date.issued	2018
dc.identifier.citation	Annals of Operations Research, p. 1-29 (2018); doi:10.1007/s10479-018-2945-5
dc.identifier.issn	0254-5330
dc.identifier.uri	http://hdl.handle.net/10651/49135
dc.format.extent	p. 1-29
dc.language.iso	eng
dc.relation.ispartof	Annals of Operations Research
dc.rights	© Springer Science+Business Media, LLC, part of Springer Nature 2018
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048826868&doi=10.1007%2fs10479-018-2945-5&partnerID=40&md5=eef7d1f73650851d594dfa39c2228c8a
dc.title	Normalization in TOPSIS-based approaches with data of different nature: application to the ranking of mathematical videos
dc.type	journal article
dc.identifier.doi	10.1007/s10479-018-2945-5
dc.relation.publisherversion	http://dx.doi.org/10.1007/s10479-018-2945-5

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