A Method for Multiple Attribute Decision Making without Weight Information but with Preference Information on Alternatives
权重信息完全未知且对方案有偏好的多属性决策法

This paper studies the multi\|attribute decision\|making problems, in which the information about attribute weights is completely unknown and the decision\|maker (DM) has preference information on alternatives. Aiming to the situations where the preference information takes the form of complementary judgement matrix, we make the decision information uniform by using a linear translation function based on complementary judgement matrix, and establish an optimization model. We then give a method for ranking the alternatives. Finally, a numerical example is given to illustrate the developed method.