The classification-based consensus in multi-attribute group decision-making

Xin Chen, Weijun Xu, Haiming Liang and Yucheng Dong

Journal of the Operational Research Society, 2020, vol. 71, issue 9, 1375-1389

Abstract: In multi-attribute group decision-making problem (MAGDM), the existing consensus reaching process (CRP) is to obtain a consensus ranking of alternatives. However, these CRPs contradict some real-life MAGDM problems in which decision-makers do not need to rank alternatives and hope to classify the alternatives into several groups instead. Thus, in this paper we propose a new CRP in MAGDM, called the classification-based consensus reaching process (CCRP). First, we present a feedback method with minimum adjustments to generate the optimal adjusted individual matrices via a 0–1 mixed linear programming model for CCRP. Subsequently, we develop the interactive consensus reaching process based on the feedback method with minimum adjustments in CCRP. Finally, a practical example from China Undergraduate Mathematical Contest in Modeling and a simulation analysis are conducted to demonstrate the validity of the proposed CCRP.

Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/01605682.2019.1609888

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