A Consensus Model for Group Decision Making in Unbalanced Fuzzy Linguistic Contexts
نویسندگان
چکیده
The aim of this paper is to present a consensus model for group decision making problems with unbalanced linguistic information, i.e., assuming that the preferences are assessed on linguistic term sets whose terms are not symmetrically and uniformly distributed. This consensus model is based on both a fuzzy linguistic methodology to deal with unbalanced linguistic term sets and consensus criteria. Additionally, it presents a feedback mechanism to help experts for reaching a high consensus in decision making processes.
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