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Preprocessing steps in MADM are very important and have a critical role in ranking operations. In many ranking algorithms, before running the models, it is necessary to do some modifications. These modifications are for example, Quantification, determination of utility of criteria, dimensionless operations for attributes, weighting methods and so on. Weighting methods try to define an importance of criteria in decision making process. Changing the weight in decision making process has a great influence in ranking results. Sometimes, determination of criteria weights are so difficult with conjoint of errors. There are many methods for this operation, but in literature we can not see an integrated model for classification of these methods. Methods such as entropy, LINMAP, eigenvector, smart, swing and so on, are the main weighting methods in this area. In this paper, our viewpoint for classification is multidimensional. To …