A new information fusion method based on interval-valued fuzzy numbers for handling multi-criteria fuzzy decision-making problems

We present a new information fusion method for fusing decision-maker's linguistic opinions to deal with multi-criteria fuzzy decision-making problems. The proposed information fusion algorithm uses interval-valued fuzzy numbers to represent the decision-makers' linguistic opinions. It uses linguistic quantifiers based on the FN-IOWA operator to flexibly determine the weights of linguistic opinions of each decision-maker for aggregating these linguistic opinions in different linguistic constraints. The proposed method can handle multi-criteria fuzzy decision-making problems in a more intelligent and more flexible manner.

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