The route evaluation is an important basis for airlines to make route decisions.\nIn order to solve the fuzzy multiple attribute route decision problem,\nroute attribute weight was completely unknown, and the route evaluation\nfuzzy language information was given, the fuzzy language and preference information\nwere converted into trapezoidal fuzzy numbers. A programming\nmodel was constructed by minimizing the total deviation between trapezoidal\nfuzzy numbers to determining the weight of each attribute in the route decision,\nBy weighting the average of the route attribute value and the weights\nvalue, compared the expected value of fuzzy comprehensive evaluation for\neach route, and ranking alternatives by using the expected value operator of\nfuzzy variable. Finally, a numerical example was used to illustrate the proposed\nmethod. The results show that the method can be used by airlines to\nsolve multiple attribute route decision problems with unknown weights, and\nthe method is scientific and effective.
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