An Alternative Consensus Measure Based on the Gini Index for Group Decision-Making Problems

Measuring agreement among participants in group decision-making problems is critical to such processes. This paper introduces a novel consensus index derived from the Gini coefficient, which avoids the need for traditional aggregation matrices, simplifying calculations while maintaining robustness. The proposed Gini Consensus Index demonstrates properties of reciprocity and boundedness, making it a reliable alternative to traditional distance-based measures. Through a comparative statistical analysis using the Wilcoxon test, the GCI performed similarly to established methods but with computational advantages and enhanced stability. These features make it a promising tool for consensus evaluation in fuzzy preference frameworks.

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Publication Details

Journal
Journal of Advanced Computational Intelligence and Intelligent Informatics
Published
2025-03-19
DOI
https://doi.org/10.20965/jaciii.2025.p0379
Citations
1
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
2.11
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article

An Alternative Consensus Measure Based on the Gini Index for Group Decision-Making Problems

Juan Miguel Tapia García, José Ramón Trillo, M.J. del Moral, Ignacio Javier Pérez et al.
1 citations
Journal of Advanced Computational Intelligence and Intelligent Informatics
Multi-Criteria Decision Making
2.11
article

An Alternative Consensus Measure Based on the Gini Index for Group Decision-Making Problems

Juan Miguel Tapia García, José Ramón Trillo, M.J. del Moral, Ignacio Javier Pérez, Cristobal Tapia-García
article en
1 citations

Abstract

Measuring agreement among participants in group decision-making problems is critical to such processes. This paper introduces a novel consensus index derived from the Gini coefficient, which avoids the need for traditional aggregation matrices, simplifying calculations while maintaining robustness. The proposed Gini Consensus Index demonstrates properties of reciprocity and boundedness, making it a reliable alternative to traditional distance-based measures. Through a comparative statistical analysis using the Wilcoxon test, the GCI performed similarly to established methods but with computational advantages and enhanced stability. These features make it a promising tool for consensus evaluation in fuzzy preference frameworks.

Journal of Advanced Computational Intelligence and Intelligent InformaticsVol. 29(2)
Universidad de Granada (ES), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 15%
Multi-Criteria Decision Making
2.11
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