Multi-objective game theory model and fuzzy programing approach for sustainable watershed management

被引:30
作者
Moradi, Sohrab [1 ]
Limaei, Soleiman Mohammadi [2 ]
机构
[1] Payame Noor Univ, Fac Agr Sci, Dept Nat Resources & Environm Engn, Tehran, Iran
[2] Univ Guilan, Fac Nat Resources, Dept Forestry, POB 1144, Sowmeh Sara, Iran
关键词
Watershed management; Game theory; Fuzzy programing; Conflict analysis; Pareto optimality; Nash bargaining solution; RIVER-BASIN; DECISION-MAKING; QUALITY MANAGEMENT; SUPPLY SYSTEM; OPTIMIZATION; RESERVOIR; ENVIRONMENT; CONFLICT; INSIGHTS; EROSION;
D O I
10.1016/j.landusepol.2017.12.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study was carried out with the aim of feasibility evaluation of the application of multi-objective game theory and fuzzy programing approaches for settling balance between economic development and environmental impact as well as to facilitate the respective decision-makings in Zemkan basin, west of Iran. The biobjectives of multi-objective game theory and fuzzy programing approaches are minimizing the destructive effects on the environment (less erosion and sediments) and maximizing the economical incomes resulted from different land uses (more net present value). Satellite images were used for recognition of different land uses and the areas of these land use. In this study, the environmentalists and Zemkan basin users were selected as environmental and economical players, respectively. The results reveal that Nash bargaining solution, which is the result of the multi-objective game theory model, differs from Pareto optimalities, obtained through the classical multi-objective model. Nash bargaining solution offered more satisfactory solutions based on decision-makers' priorities. In addition, the overall results showed that the results of fuzzy programming approach were very close to the results of the multi-objective game theory model. Therefore, in both methods, the decision variables of semi-closed forest, open forest, non-irrigated agricultural lands and barren rocky lands were eliminated and the ones of rural areas, urban areas, and water body remained unchanged. The innovation of multi-objective game theory and fuzzy programing approaches, which can be understood and interpreted well by decision makers, is setting a kind of balance between economic and environmental concerns in watershed management. The results also show that multi-objective game theory and fuzzy programing approaches can be applied to many other issues concerning the environmental management. The upcoming researches can concentrate on developing a third objective like social concerns and accordingly to-objective games would be applied instead of bi-objective ones.
引用
收藏
页码:363 / 371
页数:9
相关论文
共 66 条
  • [1] Abaci O, 2007, P ASCE WORLD ENV WAT
  • [2] [Anonymous], 1992, Rationality and Society, DOI DOI 10.1177/1043463192004001008
  • [3] [Anonymous], 4072 WORLD BANK
  • [4] Azar A., 2008, MODARRES HUM SCI, V12, P33
  • [5] Game Theory as a Tool of Project Management
    Bockova, Katerina Hrazdilova
    Slavikova, Gabriela
    Gabrhel, Juraj
    [J]. 20TH INTERNATIONAL SCIENTIFIC CONFERENCE - ECONOMICS AND MANAGEMENT 2015 (ICEM-2015), 2015, 213 : 709 - 715
  • [6] REGIONAL MANAGEMENT OF AN AQUIFER FOR MINING UNDER FUZZY ENVIRONMENTAL OBJECTIVES
    BOGARDI, I
    BARDOSSY, A
    DUCKSTEIN, L
    [J]. WATER RESOURCES RESEARCH, 1983, 19 (06) : 1394 - 1402
  • [7] Non-cooperative support for the asymmetric Nash bargaining solution
    Britz, Volker
    Herings, P. Jean-Jacques
    Predtetchinski, Arkadi
    [J]. JOURNAL OF ECONOMIC THEORY, 2010, 145 (05) : 1951 - 1967
  • [8] Progress in behavioral game theory
    Camerer, CF
    [J]. JOURNAL OF ECONOMIC PERSPECTIVES, 1997, 11 (04) : 167 - 188
  • [9] Negotiating on water: insights from non-cooperative bargaining theory
    Carraro, Carlo
    Marchiori, Carmen
    Sgobbi, Alessandra
    [J]. ENVIRONMENT AND DEVELOPMENT ECONOMICS, 2007, 12 : 329 - 349
  • [10] Managerial fuzzy optimal planning for solid-waste management systems
    Chang, NB
    Wang, SF
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1996, 122 (07): : 649 - 658