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Updated: Jul 5, 2025

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An Incentive Mechanism-Based Minimum Adjustment Consensus Model Under Dynamic Trust Relationship.

Yumei Xing, Jian Wu, Francisco Chiclana

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    Summary
    This summary is machine-generated.

    This study introduces an incentive mechanism to improve group decision-making by encouraging experts to adjust preferences, fostering consensus through dynamic trust relationships and reducing adjustment costs.

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    Area of Science:

    • Decision Sciences
    • Operations Research
    • Artificial Intelligence

    Background:

    • Traditional group decision-making often forces expert compromises, hindering consensus.
    • Existing methods lack effective strategies for preference adjustment in dynamic environments.

    Purpose of the Study:

    • To develop a novel incentive mechanism for achieving group consensus under dynamic trust.
    • To reduce preference adjustment costs and promote expert cooperation.

    Main Methods:

    • Defined a supremum and infimum incentives-based rule driven by trust.
    • Developed an incentive behavior-driven minimum adjustment consensus model.
    • Constructed an optimization model based on trust interaction for final group preference.

    Main Results:

    • The proposed mechanism effectively reduces preference adjustment costs.
    • It promotes group consensus by incentivizing preference revision.
    • Updated trust relationships are strengthened through incentive-driven revisions.

    Conclusions:

    • The novel incentive mechanism enhances group consensus in decision-making.
    • It offers a more effective approach than forcing compromises.
    • Demonstrated through a high-end medical equipment supplier selection case.