For the multipleattribute decision making problem with attribute value expressed as comparative linguistic expression, a new multipleattribute decision making method named improved TOPSIS method is advanced. The evaluation value of the traditional TOPSIS method only reflects the relative proximity of each evaluation object inside. In order to embody the degree of closeness to the ideal solution, ITOPSIS method is developed by introducing the ranking index based on the concept that the chosen alternative should be as close as possible to the ideal solution. Finally, an example is given to illustrate the proposed method, in which the effectiveness and feasibility are guaranteed.