Aggregation for linearly ordered fuzzy preference relations based on consistency.

Calvo, T.; Fuster-Parra, P.; Martín, J.; Mayor, G.

dc.contributor.author	Calvo, T.
dc.contributor.author	Fuster-Parra, P.
dc.contributor.author	Martín, J.
dc.contributor.author	Mayor, G.
dc.date.accessioned	2022-11-16T08:55:12Z
dc.identifier.uri	http://hdl.handle.net/11201/159916
dc.description.abstract	[eng] The study of consistency in decision-making models is of great importance. Our proposal deals with a special type of extended aggregation functions to guarantee consistency that is based on T -S consistency of linearly ordered fuzzy preference relations (fuzzy ranking for preferences). Necessary conditions to ensure consistency in the aggregation process are provided. Moreover, sufficient conditions to guarantee the existence of extended aggregation functions verifying T -S consistency are presented. Some examples of functions of this type are also given. The equivalence between T -S consistency and the additive consistency for fuzzy preference relations is established.
dc.format	application/pdf
dc.relation.isformatof	Versió postprint del document publicat a: https://doi.org/10.1016/j.fss.2020.12.006
dc.relation.ispartof	Fuzzy Sets and Systems, 2022, vol. 446, p. 38-52
dc.subject.classification	51 - Matemàtiques
dc.subject.classification	004 - Informàtica
dc.subject.other	51 - Mathematics
dc.subject.other	004 - Computer Science and Technology. Computing. Data processing
dc.title	Aggregation for linearly ordered fuzzy preference relations based on consistency.
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/acceptedVersion
dc.date.updated	2022-11-16T08:55:12Z
dc.date.embargoEndDate	info:eu-repo/date/embargoEnd/2026-12-31
dc.embargo	2026-12-31
dc.subject.keywords	aggregation function
dc.subject.keywords	consistency
dc.subject.keywords	Decision-Making
dc.subject.keywords	fuzzy preference relations
dc.subject.keywords	Globally monotone
dc.rights.accessRights	info:eu-repo/semantics/embargoedAccess
dc.identifier.doi	https://doi.org/10.1016/j.fss.2020.12.006