Consensus among Multi-Criteria Decision-Making methods: Using methods as a voter

Abstract

This study offers a new approach that evaluates the decision order made by Multi-Criteria Decision-Making Methods (MCDM) with different normalization techniques as voters and combines them with a group decision-making method. In the proposed solution, each Multi-Criteria Decision Making Method calculatesits own election rank using different normalization techniques, and each rank is considered as one vote. Inthe next step, all these decision rankings are combined by considering the voting and ranking total weightvalues as weighting. The main purpose of developing this method is to increase consensus among MCDM.Two optimization models have been defined in determining the group decision, one based on number ofvotes optimization and the other based on cumulative weight optimization. To determine the final decisionorder, a distance calculation was made between the optimized decision and the decisions produced by & Ccedil;KKVY, and the order with the least distance was determined as the final decision.