With respect to hybrid multiple attribute group decision making problems with unknown attribute weights, based on normalizing the different types of evaluation values, this paper firstly develops a method for transforming crisp number, interval number and linguistic term into probabilistic linguistic term set. Then, by aggregating the individual decision matrices, the deviation maximization method is used to determine the weights of attributes, and the traditional TODIM method is extended to probabilistic linguistic environment. By constructing relative dominance matrix, the ranking of all feasible alternatives is determined according to the overall dominance degrees. Finally, a numerical example is provided to illustrate the applicability of the proposed method.
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