A New Time-Sensitive Graph Model for Conflict Resolution with Simultaneous Decision-Maker Moves

The time dimension critically shapes decision-making and conflict evolution in real-world scenarios. This paper extends the Graph Model for Conflict Resolution (GMCR) framework by integrating time attributes, proposing a novel Time-Sensitive GMCR (TSGMCR) methodology that supports concurrent moves by multiple decision-makers (DMs). Within TSGMCR, we define new stability concepts and implement comparative analysis. The methodology is applied to the Jakarta–Bandung high-speed railway project conflict, demonstrating its effectiveness in resolving complex real-world conflicts and identifying beneficial coalition formations.

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Publication Details

Journal
Systems
Published
2025-08-22
DOI
https://doi.org/10.3390/systems13090726
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32

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A New Time-Sensitive Graph Model for Conflict Resolution with Simultaneous Decision-Maker Moves

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A New Time-Sensitive Graph Model for Conflict Resolution with Simultaneous Decision-Maker Moves

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article en
1 citations

Abstract

The time dimension critically shapes decision-making and conflict evolution in real-world scenarios. This paper extends the Graph Model for Conflict Resolution (GMCR) framework by integrating time attributes, proposing a novel Time-Sensitive GMCR (TSGMCR) methodology that supports concurrent moves by multiple decision-makers (DMs). Within TSGMCR, we define new stability concepts and implement comparative analysis. The methodology is applied to the Jakarta–Bandung high-speed railway project conflict, demonstrating its effectiveness in resolving complex real-world conflicts and identifying beneficial coalition formations.

SystemsVol. 13(9)
National University of Defense Technology (CN), Logistics University of People's Armed Police Force (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Complex Network Analysis Techniques
1.32
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