Combining DOE and EDAS Methods for Multi-criteria Decision Making

Most existing Multi-Criteria Decision Making (MCDM) methods can only be used to rank readily available choices. After the first ranking has been completed, some of the options are discarded and others may arise, then it will be necessary to start the ranking over again. This study proposes a new method that can quickly rank alternatives in this situation. The proposed method is a combination of the Design of the Experimental method (DOE) and Evaluation based on the Distance from Average Solution (EDAS) method, hence it will be referred to as the DOE-EDAS method. The new aspect of this proposed method is to build a relationship between the scores of the options and the criteria. This relationship is called the regression equation. Using this regression equation, it is possible to quickly calculate the scores for alternatives (after an alternative is discarded or an alternative is added) and rank them. The method has been applied to multi-criteria decision-making in some specific cases. The results demonstrate the effectiveness of this method.