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A Decision Support System for Solving the Conflict Between Human and Environment

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Conflict Resolution in Water Resources and Environmental Management
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Abstract

A new decision support system based on matrix representation for conflict resolution under three-degree preference is designed for analyzing and solving conflict in practice. Because decision and negotiation are common but important human activity, there is a great need for a flexible decision support system that can systematically investigate a wide range of real-world strategic conflicts. The decision support system GMCR II, based on logical representations, is capable of handling two-degree preference only. However, the two-degree structure is limited in its ability to depict the intensity of relative preference. The proposed decision support system may deal with more complex strategic conflicts such as conflict with three-degree preference. The new system is illustrated in this paper using an international environmental dispute that was resulted from the environmental pollution among US, Canada, and International Joint Commission. To irrigate land in the northeastern section of North Dakota, an irrigation project was proposed by the United States Support (USS) regarding construction of a canal and holding reservoir to transfer water from the Missouri River Basin to the Hudson Bay Basin. Due to different goals, the Garrison Diversion Unit (GDU) conflict arose among US, Canada, and International Joint Commission. The resolution to solve this conflict is suggested by the new decision support system.

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References

  • Fang L, Hipel KW, Kilgour DM (1993) Interactive decision making: the graph model for conflict resolution. Wiley, New York

    Google Scholar 

  • Fang L, Hipel KW, Kilgour DM, Peng X (2003a) A decision support system for interactive decision making, part 1: model formulation. IEEE Trans Syst Man Cybern Part C 33(1):42–55

    Article  Google Scholar 

  • Fang L, Hipel KW, Kilgour DM, Peng X (2003b) A decision support system for interactive decision making, part 2: analysis and output interpretation. IEEE Trans Syst Man Cybern Part C 33(1):56–66

    Article  Google Scholar 

  • Fraser NM, Hipel KW (1979) Solving complex conflicts. IEEE Trans Syst Man Cybern 9 12:805–817

    Article  Google Scholar 

  • Haiyan Xu, Kilgour DM, Hipel KW (2010) An integrated algebraic approach to conflict resolution with three-level preference. Appl Math Comput 216:693–707

    Article  Google Scholar 

  • Hamouda L, Kilgour DM, Hipel KW (2004) Strength of preference in the graph model for conflict resolution. Group Decis Negot 13:449–462

    Article  Google Scholar 

  • Hamouda L, Kilgour DM, Hipel KW (2006) Strength of preference in graph models for multiple-decision-maker conflicts. Appl Math Comput 179:314–327

    Article  Google Scholar 

  • Howard N (1971) Paradoxes of rationality: theory of metagames and political behavior, Cambridge. MIT press, MA

    Google Scholar 

  • Inohara T, Hipel KW (2008) Coalition analysis in the graph model for conflict resolution. Syst Eng 11:343–359

    Article  Google Scholar 

  • Li KW, Kilgour DM, Hipel KW (2005) Status quo analysis in the graph model for conflict resolution. J Oper Res Soc 56:699–707

    Article  Google Scholar 

  • Nash JF (1950) Equilibrium points in n-person games. Proc Nat Acad Sci 36:48–49

    Article  CAS  Google Scholar 

  • Nash JF (1951) Noncooperative games. Ann Math 54(2):286–295

    Article  Google Scholar 

  • Xu H, Hipel KW, Kilgour DM (2009) Matrix representation of solution concepts in multiple decision maker graph models. IEEE Trans Syst Man Cybern Part A 39(1):96–108

    Article  Google Scholar 

  • Xu H, Kilgour DM, Hipel KW (2010) Matrix representation and extension of coalition analysis in group decision support. Comput Math Appl 60:1164–1176

    Article  Google Scholar 

  • Xu H, Kilgour DM, Hipel KW (2011) Matrix representation of conflict resolution in multiple-decision-maker graph models with preference uncertainty. Group Decis Negot (GDN) 20(6):755–779

    Article  Google Scholar 

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Acknowledgment

We appreciate the support from the Foundation of Universities in Jiangsu for Philosophy and Social Sciences (2012ZDIXM014) and the National Natural Science Foundation of China (NSFC) (71471087).

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Correspondence to Haiyan Xu .

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Jiang, J., Xu, H., Jiang, Y. (2015). A Decision Support System for Solving the Conflict Between Human and Environment. In: Hipel, K., Fang, L., Cullmann, J., Bristow, M. (eds) Conflict Resolution in Water Resources and Environmental Management. Springer, Cham. https://doi.org/10.1007/978-3-319-14215-9_12

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