Abstract
The dynamic nature of negotiation and decision-making necessitates a flexible negotiation decision support system (NDSS) that can systematically investigate real-world strategic conflicts with a wide range of preference information with uncertainty. However, most of the existing decision support system, such as GMCR II under the framework of the graph model for conflict resolution (GMCR), is only capable of handling simple preference. This research develops a new NDSS based on an algebraic representation to implement modeling and analysis for GMCR. More specifically, an algebraic approach using option prioritizing to generate unknown preference is proposed and then implemented to build an efficient and flexible modeling and analysis system. This new system may provide decision makers with valuable strategic insights for negotiations and decisions, especially in dynamic conflict environments. The procedure of applying the proposed theory and system is demonstrated using a South Sudan conflict with unknown preference involving the third-party intervention.
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Funding
The fundings were provided by National Natural Science Foundation of China (Grant No. 71971115) and the Basic Scientific Research of Nanjing University of Aeronautics and Astronautics (NG2020004).
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Xu, H., Han, Y., Ke , G.Y. et al. Modeling and Implementation of a New Negotiation Decision Support System for Conflict Resolution Under Uncertainty. Group Decis Negot 31, 531–553 (2022). https://doi.org/10.1007/s10726-021-09754-x
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DOI: https://doi.org/10.1007/s10726-021-09754-x