Due to daily increase of data stream in the company’s data warehouses, necessity of tools which can go through these streams and extracting the existing patterns and relations among them has become more important than before. One of the most important tools in this regard is data mining and up to now extended researches have been done about this subject. However, most of data mining methods don`t allow the decision maker to enter his preferences into the model. Since using multi-criteria decision making methods allows decision maker to enter his preferences into the model, researchers have been recently concerned about data mining models using these methods. As a result, the main goal of this research is presenting a new data mining model based on one of the MCDM methods, PROMETHEE. PROMETHEE is one of the MCDM methods which has a lot of successful application. Since using PROMETHEE for data mining is a new subject and due to successful application of this method in the real world problems, it has been chosen as the basis for constructing the data mining model and the framework of the Dividing data into two sets, training and test, running the model for estimating the test data ltr"
