A consensus model for group decision making problems with linguistic interval fuzzy preference relations

An approach to interval-valued intuitionistic uncertain linguistic multi-attribute group decision making

“…Since it was introduced by Zadeh [75], many researchers have devoted themselves to decision making with linguistic information. For instance, Tapia García et al [49] introduced a consensus model for group decision making with linguistic interval fuzzy preference relations. Alonso et al [4] presented a linguistic consensus model for linguistic fuzzy preference relations and discussed its application to Web 2.0 communities.…”

Group decision making with fuzzy linguistic preference relations via cooperative games method

“…The consistency test and modification approach of fuzzy linguistic complementary judgment matrix have been widely studied (Dong et al, 2008;Tapia García et al, 2012;Dong, Hong, & Li, 2013;Xu & Wu, 2013;Zhang, Dong, & Xu, 2014). Hereinafter, the modification approach proposed by Xu and Wang (2013) will be used to obtain the consistent Fuzzy LinPreRa matrix of each decision maker.…”

“…During the aggregation phrase, the weighting method is of great importance, because the weighting vector produced by the certain weighting method would affect the final aggregating results directly. At present, many weighting methods have been developed to derive the weighting vector in the GDM, such as the optimization models (Zhou, Chen, & Han, 2011;Zhou & Chen, 2013;Xu & Wu, 2013), straightforward construction methods (Xu, 2008), the entropy weight (Zamri & Abdullah, 2013) and the linguistic quantifiers' method (Yager, 1988;Dong, Xu, & Yu, 2009;Tapia García, del Moral, Martínez, & Herrera-Viedma, 2012).…”

Consensus building in group decision making based on multiplicative consistency with incomplete reciprocal preference relations

“…Herrera-Viedma et al [20] proposed a consensus model for multi-person decision making with different preference relations. Tapia García et al [16] proposed a consensus model for GDM in which the experts use linguistic interval fuzzy preference relations to represent their * Corresponding author.…”