Collective Aggregation Method Based on EVAMIX, the Gini Mean and the Hybrid Operator of Zimmermann and Zysno

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Hadarou Yiogo, Frédéric Nikiema, Pengdwendé Cédric Ghislain Guira, Zoïnabo Savadogo

Abstract

These days, our lives are governed by a large number of decisions. They are subject to consensus or disagreement among the players involved in the decision-making process. So it’s important to make a decision that meets everyone’s aspirations. Several decision-support methods have therefore been developed, but they all have their shortcomings. The EVAMIX method is one such aggregation method that has good properties but is used in the context of a single decision-maker. The aim of our work is to extend the EVAMIX method to group decision-making. To this end, we have proposed a collective aggregation method based on the EVAMIX method, incorporating the Gini mean and the hybrid operator of Zimmermann and Zysno. Finally, we conducted numerical experiments, which produced some interesting results.

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