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Fair Division: Corrected Proportional Rule
[Partage Equitable: Règle Proportionnelle Corrigée]

Author

Listed:
  • Denis-Robert Mputu Losala Lomo

    (Université Pédagogique Nationale)

  • Rostin Mabela Makengo Matendo

    (Université de Kinshasa)

Abstract

In this paper, we intend to present and apply the Corrected Proportional rule (PCo) as a fair division rule in its own right, which constitutes with the methods PRRC (Resources Distribution Process based on the results of the Clustering) and PRRG (Resources Distribution Process at Group level) the three main methods of the Fair Division Approach based on Clustering and Reduction of inequalities (APCR).The PCO rule reduces inequalities between individuals to a single level, that of the population considered as a single class. The originality of this paper is due to the fact that PCo rule is a fair division rule in its own right because of its results and is not used at all in the literature.

Suggested Citation

  • Denis-Robert Mputu Losala Lomo & Rostin Mabela Makengo Matendo, 2025. "Fair Division: Corrected Proportional Rule [Partage Equitable: Règle Proportionnelle Corrigée]," Post-Print hal-05294739, HAL.
    • Handle: RePEc:hal:journl:hal-05294739
    DOI: 10.26821/IJSHRE.13.08.2025.130602
    Note: View the original document on HAL open archive server: https://hal.science/hal-05294739v1
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    References listed on IDEAS

    as
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    5. Mputu Losala Lomo, Denis-Robert, 2022. "Application de la Classification Ascendante Hiérarchique à la Répartition des Ressources Budgétaires dans la Ville-Province de Kinshasa [Application of Hierarchical Ascendant Clustering to the Distribution of Budgetary Ressources in the City-Provi," MPRA Paper 113774, University Library of Munich, Germany.
    6. Mputu Losala Lomo, Denis-Robert, 2024. "Fair Division Approach Based on Clustering and Reduction of Inequalities," MPRA Paper 122701, University Library of Munich, Germany.
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    8. Mputu Losala Lomo, Denis-Robert, 2023. "The Clustering Method Applied in a Fair Division Process," MPRA Paper 122924, University Library of Munich, Germany.
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