Examinando por Autor "Dong, Yucheng"
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Ítem Consensus Building With Individual Consistency Control in Group Decision Making(IEEE, 2018-07) Li, CongCong; Rodriguez, Rosa M.; Martinez, Luis; Dong, Yucheng; Herrera, FranciscoThe individual consistency and the consensus degree are two basic measures to conduct group decision making with reciprocal preference relations. The existing frameworks to manage individual consistency and consensus degree have been investigated intensively and follow a common resolution scheme composed by the two phases: the consistency improving process, and the consensus reaching process. But in these frameworks, the individual consistency will often be destroyed in the consensus reaching process, leading to repeat the consistency improving process, which is time consuming. In order to avoid repeating the consistency improving process, a consensus reaching process with individual consistency control is proposed in this paper. This novel consensus approach is based on the design of an optimization-based consensus rule, which can be used to determine the adjustment range of each preference value guaranteeing the individual consistency across the process. Finally, theoretical and numerical analysis are both used to justify the validity of our proposal.Ítem Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index(Elsevier, 2018-03) Li, CongCong; Rodriguez, Rosa M.; Herrera, Francisco; Martínez, Luis; Dong, YuchengThe 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.Ítem Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions(Elsevier, 2018-04) Li, CongCong; Rodriguez, Rosa M.; Martinez, Luis; Dong, Yucheng; Herrera, FranciscoIn decision making problems, decision makers may prefer to use more flexible linguistic expressions in- stead of using only one linguistic term to express their preferences. The recent proposals of hesitant fuzzy linguistic terms sets (HFLTSs) are developed to support the elicitation of comparative linguistic expressions in hesitant decision situations. In group decision making (GDM), the statement that words mean different things for different people has been highlighted and it is natural that a word should be defined by individual semantics described by different numerical values. Considering this statement in hesitant linguistic decision making, the aim of this paper is to personalize individual semantics in the hesitant GDM with comparative linguistic expressions to show the individual difference in understanding the meaning of words. In our study, the personalized individual semantics are carried out by the fuzzy envelopes of HFLTSs based on the personalized numerical scales of linguistic term set.