A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making

Date

2024-03-16

Advisors

Journal Title

Journal ISSN

ISSN

0952-1976

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

This article proposes a framework for bilateral negotiation mechanism to deal the case the concordant decision-makers (DMs) coalition cannot be constructed, which resolves the limitations of the existing group decision making methods. Bilateral negotiation means a process in which any two involved DMs change their own opinions based on each other’s opinions, avoiding the formation of group coalitions and the coercion of individual DMs. It can not only improve group consensus by interaction between individual DMs, but also considers the limited compromise behavior of DMs in the consensus bargaining process. The key contributions of this article contain: (1) It investigates the concept of ‘harmony threshold’ by combining the consensus levels of individual DMs and the number of group members to explain the limited compromise behavior of DMs. (2) it proposes a novel bilateral negotiation consensus mechanism with personalized compromise behavior with the group consensus threshold as the objective function and personalized harmony thresholds as constraints to help any two discording DMs partly to adopt each other’s opinions. And (3) It develops the ranking difference level (RDL) to measure the deviation degree between the final ranking of alternatives and all the DMs’ original rankings of alternatives. The research found that the proposed mechanism can reduce consensus cost by 40% and ranking difference by 5%.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Bilateral negotiation mechanism, Consensus, Dynamic harmony threshold, Group decision making

Citation

Cao, M., Chiclana, F., Liu, Y., Wu, J. and Herrera-Viedma, E. (2024) A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making. Engineering Applications of Artificial Intelligence, 133, Part B, 108225

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/

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