A New Attribute Decision Making Model Based on Attribute Importance

In the light of universality of uncertainty, we propose a decision making model in completed information system. Considering the attribute reduction, attribute importance and mismatched information, a multiple attribute decision making model based on importance of attribute is constructed. First of all, decision table is obtained by the knowledge known and deleting reduced attributes. Also, attributes value reduction obtained to simplify the decision table and rules is extracted. Then, rules are utilized to make decision for a new problem. Finally, an example is advanced to illustrate our model.