Voting-KEMIRA Method for Determining Criteria Priority and Weights in Solving MADM Problems

Abstract Decision-making can be accounted for, as being one of the most essential and fundamental managerial tasks; and organizational research depends on its quality, so, from the point of view of connoisseurs, decision-making is the main essence of management. The KEmeny Median Indicator Ranks Accordance (KEMIRA) decision-making method is one of the latest Multi-Attribute Decision Making (MADM) methods, which has been conveyed in this paper by utilizing the preferential voting concept. A new Voting-KEMIRA model is expressed by rendering a linear programming model with weight control bylaw. In implementing this novel model on a real world problem, it is compared with the preceding method and finally a few of its advantages will be specified.