Li, CongCongRodriguez, Rosa M.Herrera, FranciscoMartínez, LuisDong, Yucheng2024-01-312024-01-312018-03C.C. Li, R.M. Rodríguez, F. Herrera, L. Martínez, Y. Dong, Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Information Sciences, vol. 432, pp. 347-361, 2018. 10.1016/j.ins.2017.12.0180020-025510.1016/j.ins.2017.12.018https://www.sciencedirect.com/science/article/abs/pii/S0020025517304693https://hdl.handle.net/10953/1790The study of hesitant consistency is very important in decision-making with hesitant fuzzy linguistic preference relations (HFLPRs), and generally the normalization method is used as a tool to measure the consistency degree of a HFLPR. In this paper we propose a new hes- itant consistency measure, called interval consistency index, to estimate the consistency range of a HFLPR. The underlying idea of the interval consistency index consists of measur- ing the worst consistency index and the best consistency index of a HFLPR. Furthermore, by comparative study, a connection is shown between the interval consistency index and the normalization method, demonstrating that the normalization method should be con- sidered as an approximate average consistency index of a HFLPR.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Linguistic preference relationHesitant fuzzy linguistic term setsConsistency measureInterval indexAverage indexinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess