A Case Study of Grey-Based Preference in a Graph Model for Conflict Resolution with Two Decision Makers

2013 ◽  
Author(s):  
Hanbin Kuang ◽  
Keith W. Hipel ◽  
D. Marc Kilgourt ◽  
M. Abul Bashar
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Decision Makers

Strategic analysis of the James Bay hydro-electric dispute in Canada

2005 ◽  
Vol 32 (5) ◽  
pp. 868-880 ◽  
Author(s):  
Jing Ma ◽  
Keith W Hipel ◽  
Mitali De
Keyword(s):  
Conflict Resolution ◽  
Decision Support ◽  
Stability Analysis ◽  
Decision Support System ◽  
Support System ◽  
Graph Model ◽  
Decision Makers ◽  
Native People ◽  
Strategic Analysis ◽  
James Bay

A strategic analysis of the James Bay conflict was carried out by using the graph model for conflict resolution. In 1971, Hydro-Québec, which is the third-largest electrical generating company of North America, began its large-scale hydroelectric projects in the James Bay area. Since the projects would significantly affect the living conditions of the native people and the environment around that region, worldwide debates were stimulated. A conflict model was developed in terms of the decision makers, their options, and their preferences for the situation existing as of January 2002, just prior to the signing of the final agreement. Subsequently, a stability analysis based on the calibrated model indicates that a possible resolution is that Hydro-Québec reduces the number of proposed power stations to appease the native people, who in turn would not initiate lawsuits. Sensitivity and hypergame analyses were also carried out to demonstrate the effects of preferences of decision makers on the final resolution. In practice, the modelling and analysis were implemented using the decision support system, GMCR II®. Key words: Hydroelectric, conflict resolution, decision support system, graph model, stability analysis, sensitivity analysis, hypergame analysis.

scholarly journals Development of a dynamics-based model for analyzing strategic water–environmental conflicts: systems thinking instead of linear thinking

Water Policy ◽  
2021 ◽  
Author(s):  
Mohsen Shahbaznezhadfard ◽  
Saied Yousefi
Keyword(s):  
Conflict Resolution ◽  
Systems Thinking ◽  
Research Effort ◽  
Real Life ◽  
Graph Model ◽  
Dynamic Nature ◽  
Environmental Conflicts ◽  
The Past ◽  
Conventional Paradigm

Abstract A new evolvement in graph model for conflict resolution (GMCR), a robust methodology for conflict resolution, is presented in this research effort to incorporate the systems thinking concept into the conventional paradigm of GMCR so that the dynamic nature of water–environmental conflicts can be modeled, and better outcomes obtained. To achieve this objective, a methodology is developed in three phases: static, dynamic, and outcome-based analyses. To develop the methodology, the Tigris–Euphrates basin conflict in the Middle East over the past 30 years, as a real-life case study, is used to show the robustness and capabilities of the proposed approach. Finally, a sustainable resolution to the current conflict is proposed, and the results are discussed. The proposed methodology benefits from improving the existing and often static-based conflict resolution developments by considering the dynamic nature so that the true root causes of complex conflicts are addressed, better strategic insights achieved, and comprehensive resolution provided.

Optimal waste load allocation using graph model for conflict resolution

2017 ◽  
Vol 75 (6) ◽  
pp. 1512-1522 ◽  
Author(s):  
Leila Saberi ◽  
Mohammad Hossein Niksokhan
Keyword(s):  
Conflict Resolution ◽  
Oxygen Demand ◽  
Graph Model ◽  
Waste Load Allocation ◽  
Swarm Optimization ◽  
Penalty Costs ◽  
Waste Load ◽  
Total Treatment ◽  
Stability Definitions

In this paper, a new methodology is proposed for waste load allocation in river systems using the decision support system (DSS) for the graph model for conflict resolution II (GMCRII), multi-criteria decision making (MCDM) analysis and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Minimization of total treatment and penalty costs and minimization of biological oxygen demand violation of standards at the check point are considered as the main objectives of this study. At first, the water quality along the river was simulated using the Streeter-Phelps (S-P) equation coupled with the MOPSO model. Thereby a trade-off curve between the objectives is obtained and a set of non-dominated solutions is selected. In the next step, the best alternative is chosen using MCDM techniques and the GMCRII DSS package and non-cooperative stability definitions. The applicability and efficiency of the methodology are examined in a real-world case study of the Sefidrud River in the northern part of Iran.

A strategic conflict analysis in IT outsourcing using the graph model for conflict resolution

2020 ◽  
Vol 33 (6) ◽  
pp. 1581-1598
Author(s):  
Maisa Mendonça Silva ◽  
Thiago Poleto ◽  
Ana Paula Henriques de Gusmão ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Critical Issue ◽  
Conflict Analysis ◽  
Relational Governance ◽  
Holistic View ◽  
Case Study Methodology ◽  
Content Type ◽  
Strategic Conflict

PurposeThe purpose of this paper is to propose a strategic conflict analysis, based on the graph model for conflict resolution (GMCR), that is applied to information technology outsourcing (ITO) in a real-world software development and implementation process in Brazil.Design/methodology/approachBecause the idea of this study is to answer “why” the ITO conflicts occur and “how” they can be avoided, the case study methodology was adopted. The software GMCR II was used to analyze the interactions between an IT vendor and an IT client.FindingsThe results suggest that a lack of relational governance is a critical issue that could be handled to improve the interaction between those involved.Research limitations/implicationsThe main results are restricted to the case study and cannot be generalized. Moreover, a specific limitation of this paper pertains to the use of the GMCR and the consequent difficulty for IT vendors and IT clients to work with a large number of actions and to set preferences for several states of conflict.Practical implicationsThe strategic analysis of outsourcing conflicts provides a holistic view of the current situation that may assist the client and vendor in future decisions and identify guidelines to ensure successful ITO. Therefore, this paper provides an effective guide for clients and vendors to better manage conflicts and establish a contingency vision to avoid such disputes.Originality/valueThe ITO conflict is analyzed using the GMCR, considering both perspectives of the outsourcing process (vendors and clients).

The graph model for conflict resolution with consensus fuzzy preferences and its application to environmental sustainable development

2020 ◽  
Vol 39 (5) ◽  
pp. 6721-6731
Author(s):  
Nannan Wu ◽  
Yejun Xu ◽  
Lizhong Xu ◽  
Huimin Wang
Keyword(s):  
Sustainable Development ◽  
Conflict Resolution ◽  
Preference Relation ◽  
Graph Model ◽  
Decision Makers ◽  
The Novel ◽  
Equilibrium Solutions ◽  
Fuzzy Preferences ◽  
Fuzzy Solution ◽  
Behavior Characteristics

Conflict of environmental sustainable development as a common phenomenon can be seen everywhere in life. To capture consensus problems of decision makers (DMs) in conflict, a consensus and non-consensus fuzzy preference relation (FPR) matrix is proposed to the framework of the Graph Model for Conflict Resolution (GMCR). Concentrating on the case of two DMs within GMCR paradigm, four standard fuzzy solution concepts are developed into eight fuzzy stability definitions which can fully represent DMs’ behavior characteristics of win-win and self-interested. To demonstrate how the novel GMCR methodology proposed in this paper can be conveniently utilized in practice, it is then applied to an environmental sustainable development conflict with two DMs. The results show that the general fuzzy equilibrium solutions are the intersection of consensus fuzzy equilibrium and non-consensus fuzzy equilibrium. Therefore, the GMCR technique considering DMs’ consensus can effectively predict the various possible solutions of conflict development under different DMs’ behavior preferences and provide new insights for analysts into a conflict.

scholarly journals A Two-Stage Decision Framework for Resolving Brownfield Conflicts

2019 ◽  
Vol 16 (6) ◽  
pp. 1039 ◽  
Author(s):  
Qingye Han ◽  
Yuming Zhu ◽  
Ginger Ke ◽  
Hongli Lin
Keyword(s):  
Conflict Resolution ◽  
Stability Analysis ◽  
Graph Model ◽  
Third Party ◽  
Decision Framework ◽  
Two Stage ◽  
Third Party Intervention ◽  
The Third ◽  
Desirable Outcome

Based on the Graph Model of Conflict Resolution (GMCR), a two-stage decision framework is developed to reveal the essence of brownfield incidents and facilitate the resolution of brownfield conflicts caused by the incidents. More particularly, the forward GMCR is utilized in Stage I, the negotiation stage, to simulate the evolution of a Brownfield Conflict (BC) and predict its potential resolution via stability analysis. If no acceptable equilibrium can be obtained, the BC progresses into Stage II, the third-party-intervention stage, where the inverse GMCR is used to assist a third party in intervening the conflict to achieve a desirable outcome. To illustrate the practicality of this framework, a recent BC that occurred in Changzhou, China, is taken as a case study. Invaluable insights are provided through the computation and investigation of the corresponding preference relationships.

Conflict analysis based on the graph model for conflict resolution and grey matrix

2013 ◽  
Vol 3 (1) ◽  
pp. 95-106 ◽  
Author(s):  
Xueshan Han ◽  
Thi Dieu Linh Nguyen ◽  
Haiyan Xu
Keyword(s):  
Conflict Resolution ◽  
Prisoner's Dilemma ◽  
Pure Strategy ◽  
Prisoner’S Dilemma ◽  
Graph Model ◽  
Conflict Analysis ◽  
Decision Makers ◽  
Analysis Model ◽  
Policy Makers ◽  
Content Type

PurposeThe purpose of this paper is to propose a complete theory of grey conflict analysis model based on grey game and the graph model for conflict resolution and also, to illustrate a case of “prisoner's dilemma” in the traditional grey game as an example.Design/methodology/approachBased on the theories of grey game and graph model for conflict resolution, this paper concentrates on the model of grey conflict analysis in a case of two players under the condition of symmetrical loss information. By analyzing decision makers, strategies, states, graph model and grey potential, and the number of decision makers' steps, the pure strategy Nash equilibrium is extended to grey potential‐general metarationality, grey potential‐symmetrical metarationality, and grey potential‐sequential stability. Meanwhile, the logical relationships between solutions are discussed. A specific case study is carried out to illustrate how the proposed grey conflict analysis model is used in practice.FindingsThe results in this paper indicate that more stable solutions are found when one considers the grey potential‐general metarationality, the grey potential‐symmetrical metarationality, and the grey potential‐sequential stability, and then solve the paradox of “prisoner's dilemma”.Practical implicationsThis new grey conflict analysis model could be used to provide useful information for policy makers during existing conflicts or negotiations among parties or enterprises.Originality/valueThe paper succeeds in constructing a new grey conflict analysis model, in which the solution concepts are studied; and the two‐player grey game will be extended to n‐players in the near future.

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