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Multi-Criteria Decision Analysis for the Purposes of Groundwater Control System Design

Author

Listed:
  • D. Bajić

    (Faculty of Mining and Geology, Department of Hydrogeology)

  • D. Polomčić

    (Faculty of Mining and Geology, Department of Hydrogeology)

  • J. Ratković

    (Faculty of Mining and Geology, Department of Hydrogeology)

Abstract

The best way for an engineer or scientist to express their knowledge, experience and opinions is day-to-day verbal communication. When a decision needs to be made about an optimal groundwater control system, the decision-making criteria need not always be numerical values. If fuzzy logic is used in multi-criteria decision-making, the criteria are described by linguistic variables that can be represented through fuzzy membership and expert judgment is used to describe such a system. Prior hydrodynamic modeling of the aquifer regime defines the management scenarios for groundwater control and provides an indication of their effectiveness. In this paper, the fuzzy analytic hierarchy process is applied to deal with a trending decision problem such as the selection of the optimal groundwater management system. Linguistic variables are used to evaluate all the criteria and sub-criteria that influence the final decision and the numerical weights of each alternative are determined by mathematical calculations. The paper presents a part of the algorithm – fuzzy optimization in hydrodynamic analysis, which leads to the selection of the optimal groundwater control system. The proposed method is applied in a real case study of an open-cast mine.

Suggested Citation

  • D. Bajić & D. Polomčić & J. Ratković, 2017. "Multi-Criteria Decision Analysis for the Purposes of Groundwater Control System Design," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4759-4784, December.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:15:d:10.1007_s11269-017-1777-4
    DOI: 10.1007/s11269-017-1777-4
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    References listed on IDEAS

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