Uncertain Multi-Attribute Decision Making Method Based on Fuzzy Ideal Points

With the development of uncertain theory, fuzzy multi attribute decision making has been applicated in more and more areas. This paper established optimization model based on fuzzy ideal points for uncertain multi-attribute decision making problem in which the attribute values are given in the forms of triangular fuzzy number and the information on attribute weights is unknown completely or partly. By solving the models, the attribute weights can be got. A method is proposed for sorting the plans and selecting the most desirable plan. Finally, an example is given to illustrate the proposed methods. Thus, a new way is given to solve the uncertain multi-attribute decision making problems with incomplete information.