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Today's article comes from the Advances in Fuzzy Systems journal. The authors are Zhang et al., from Anqing Normal University, in China. In this paper they're exploring a new strategy for solving MCDMs with fuzzy inputs. Their approach works by representing uncertain evaluations as sets of possible values, measuring the distance between those sets without distorting the data, and then deriving the importance of each criterion from the level of disagreement it creates among the alternatives.