The Study Of Approaches For Multiple Attribute Decision-Making

The multiple attribute decision-making (MADM) methodologies have been successfully applied in many real-life problems in engineering, finances, market analysis, management and others. Decision is usually made under uncertain condition from some available alternatives, that is, these alternatives should be compared, ranked or chosen. However, with the development of economy, technology and society, the MADM problems have become more and more complex, for which the decision maker can't adapt only by his knowledge and experience. Therefore, it is worth studying on the MADM methods.A few MADM methods are studied in this paper, and the major work lies in the following three parts:1. the methods about functional model The multi-attribute utility theory(MAUT) is used to give three methods for the MADM problems. In the first approach, the weights are no longer constant but depend on the attribute-values; in the second method, the weights are determined considering their sensitivity; in the third methodology, the multiplication of weights and attribute-values are considered as a whole to construct a programming to solve the multi-attribute decision-making with incomplete information.2. the method about relational model A novel decision approach is recommended via combining the idea of ELECTRE and vague set theory, which needn't aggregate the attribute-values.3. the method based on Rough set theory In this approach , some rules are extracted from the past decision examples by utilizing rough set theory, and then form a warehouse of rules. Finally these rules are used to solve the current MADM problems.