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A multiobjective decision support system for multiresource forest management

Author

Listed:
  • Aregai Tecle

    (Northern Arizona University)

  • Bijaya P. Shrestha

    (University of Arizona)

  • Lucien Duckstein

    (University of Arizona)

Abstract

A multiobjective and/or multiperson decision support system for analyzing multiresource forest management problems is developed in this paper. The procedure includes formulating the problem in a multiobjective and group decision making framework, and solving it using two solution techniques which consist of a distance-based compromise programming (CP) and a cooperative game theoretic approach of the Nash equilibrium type. The problem consists of five forest resources management objective functions to be maximized. Solving the problem using the two solution techniques enables determining a satisfactory compromise solution of the five forest resource management objectives. Sensitivity analysis of the two techniques shows compromise programming to be more sensitive to changes in the weight and the p-parameter of the technique while the cooperative game theoretic approach is relatively robust with respect to changes in the worst utility set.

Suggested Citation

  • Aregai Tecle & Bijaya P. Shrestha & Lucien Duckstein, 1998. "A multiobjective decision support system for multiresource forest management," Group Decision and Negotiation, Springer, vol. 7(1), pages 23-40, January.
    • Handle: RePEc:spr:grdene:v:7:y:1998:i:1:d:10.1023_a:1008671129325
    DOI: 10.1023/A:1008671129325
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    References listed on IDEAS

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    1. Iz, Peri H., 1992. "Two multiple criteria group decision support systems based on mathematical programming and ranking methods," European Journal of Operational Research, Elsevier, vol. 61(1-2), pages 245-253, August.
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    Cited by:

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    2. Mohd Khairul Idlan Muhammad & Mohamed Salem Nashwan & Shamsuddin Shahid & Tarmizi bin Ismail & Young Hoon Song & Eun-Sung Chung, 2019. "Evaluation of Empirical Reference Evapotranspiration Models Using Compromise Programming: A Case Study of Peninsular Malaysia," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    3. Ebrahim Ahmadisharaf & Alfred Kalyanapu & Eun-Sung Chung, 2015. "Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2543-2561, June.
    4. Kiryluk-Dryjska, Ewa & Beba, Patrycja, 2018. "Region-specific budgeting of rural development funds—An application study," Land Use Policy, Elsevier, vol. 77(C), pages 126-134.
    5. de Sousa Xavier, António Manuel & Costa Freitas, Maria de Belém & de Sousa Fragoso, Rui Manuel, 2015. "Management of Mediterranean forests — A compromise programming approach considering different stakeholders and different objectives," Forest Policy and Economics, Elsevier, vol. 57(C), pages 38-46.
    6. M. Habibi Davijani & M. E. Banihabib & A. Nadjafzadeh Anvar & S. R. Hashemi, 2016. "Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 927-946, February.
    7. Zarghami, Mahdi & Hajykazemian, Hassan, 2013. "Urban water resources planning by using a modified particle swarm optimization algorithm," Resources, Conservation & Recycling, Elsevier, vol. 70(C), pages 1-8.
    8. Raimo Hämäläinen & Eero Kettunen & Mika Marttunen & Harri Ehtamo, 2001. "Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management," Group Decision and Negotiation, Springer, vol. 10(4), pages 331-353, July.
    9. Pornpimon Boriwan & Matthias Ehrgott & Daishi Kuroiwa & Narin Petrot, 2020. "The Lexicographic Tolerable Robustness Concept for Uncertain Multi-Objective Optimization Problems: A Study on Water Resources Management," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    10. Mahdi Zarghami, 2010. "Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4491-4504, December.

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