We investigate the multiple attribute decision making problems for evaluating the urban tourism management efficiency with\nuncertain linguistic information.We utilize the uncertain linguisticweighted averaging (ULWA) operator to aggregate the uncertain\nlinguistic information corresponding to each alternative and get the overall value of the alternatives and, then rank the alternatives\nand select the most desirable one(s). Finally, a numerical example for evaluating the urban tourism management efficiency with\nuncertain linguistic information is used to illustrate the proposed model.
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