Multicriteria Decision Making of Vague Sets with Preference Information on Alternatives under Unknown Weight Information

In the light of the uncertain multicriteria decision - making problems with preference information on alternatives,this paper presents the optimization model by making deviation degree of preference value to attribute value minimum.Then attribute weights are obtained.By transforming Vague sets into fuzzy sets,the fuzzy matrix can be gotten.The alternatives are ranked according to every columns of the fuzzy matrix from big to small .Then the fuzzy priority relation matrix is obtained.By cutting the fuzzy priority relation matrix,the best alternative can be obtained.At the last,a practical example demonstrates the decision-making process.