The Open Cybernetics & Systemics Journal

2015, 9 : 2259-2265
Published online 2015 October 16. DOI: 10.2174/1874110X01509012259
Publisher ID: TOCSJ-9-2259

Fuzzy Preferences Graph Model to Study a Water Pollution Conflict

Jing Yu , Jackson Chen and Min Zhao
School of Economics and Management of Nanjing University of Science and Technology, Nanjing, 210094, P.R. China.

ABSTRACT

The fuzzy preference framework of Graph Model for Conflict Resolution (GMCR), handling both crisp and fuzzy preferences of decision makers (DMs), is capable of calculating and predicting different conflict resolutions (equilibria) according to DMs’ different satisficing criteria. Employing this methodology, a water contamination conflict occurs at the boundary of Jiangsu and Zhejiang provinces in China is investigated to provide strategic insights for both practitioners and researchers of the conflict. Additionally, a useful tool called fuzzy option prioritization, which can efficiently represent both crisp and fuzzy preferences of DMs, is introduced briefly and applied to elicit DMs’ preferences in the modeling process of the water pollution dispute. The analysis results demonstrate the applicability of the fuzzy preference framework of GMCR for systematically modeling and analyzing real-world water resources conflicts, and the usefulness of the fuzzy option prioritization technique for simplifying the process of obtaining DMs’ fuzzy preferences.

Keywords:

Conflict resolution, fuzzy equilibrium, fuzzy preferences, graph model, option prioritization, water resources conflict.