A real-time network-based approach for analysing best-worst data types

dc.contributor.author	Münnich, Ákos
dc.contributor.author	Vargáné Karsai, Emese
dc.contributor.author	Nagy, Jenő
dc.date.accessioned	2022-01-07T15:01:25Z
dc.date.available	2022-01-07T15:01:25Z
dc.date.issued	2022
dc.date.oa	2022-01-12
dc.date.pasync	2022-01-11T01:30:12Z
dc.date.updated	2022-01-11T01:30:12Z
dc.description.corrector	LB
dc.identifier.citation	SN Business & Economics. -2 : 1 (2022), p. 1-24. -SN Bus Econ. - 2662-9399
dc.identifier.doi	http://dx.doi.org/10.1007/s43546-021-00181-3
dc.identifier.issn	2662-9399
dc.identifier.opac	http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM099656
dc.identifier.uri	http://hdl.handle.net/2437/327466
dc.identifier.url	https://link.springer.com/10.1007/s43546-021-00181-3
dc.language	eng
dc.rights.access	open access article
dc.subject.mab	Bölcsészettudományok
dc.subject.mab	Pszichológiai tudományok
dc.title	A real-time network-based approach for analysing best-worst data types
dc.type	idegen nyelvű folyóiratközlemény külföldi lapban

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