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A Case Study of Group Decision Method for Environmental Foresight and Water Resources Planning Using a Fuzzy Approach

Author

Listed:
  • Ana X. Halabi

    (Universidad de La Sabana
    Macquarie University)

  • Jairo R. Montoya-Torres

    (Universidad de La Sabana)

  • Nelson Obregón

    (Pontificia Universidad Javeriana)

Abstract

Group decision-making (i.e., multi-expert) is an important subject in planning water resources. The inherent complexity and uncertainty of real world urge many experts to be involved in decision-making processes. This paper presents an application of the linguistic-label aggregation method in a real-life case study. The case was taken from a foresight exercise in Colombia (South America) concerning environmental and water resources planning in a river basin. The group decision-making problem is solved using a four-step approach based on (i) the evaluation of experts’ opinions, (ii) the aggregation of opinions for each alternative, (iii) fuzzy ranking, and (iv) final assessment. Two main issues that are new in our work is that we consider temporal linguistic labels and a fuzzy ranking procedure that is able to include the mean, the standard deviation, the fuzzy membership function and the frequency of experts’ opinions for each alternative. The approach is developed and implemented on a computational tool. Results show an efficient decision-making process, that is, the tool demonstrated to deal with shortest time frames and to increase the efficiency of the planning resources, mainly because allows the decision manager to focus on the establishment of criteria. The latter also leads to objectivity and eases the identification and discussion of elements of consensus in decisions that otherwise may be embedded in individuals’ interests.

Suggested Citation

  • Ana X. Halabi & Jairo R. Montoya-Torres & Nelson Obregón, 2012. "A Case Study of Group Decision Method for Environmental Foresight and Water Resources Planning Using a Fuzzy Approach," Group Decision and Negotiation, Springer, vol. 21(2), pages 205-232, March.
    • Handle: RePEc:spr:grdene:v:21:y:2012:i:2:d:10.1007_s10726-011-9269-z
    DOI: 10.1007/s10726-011-9269-z
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    References listed on IDEAS

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    1. Zeshui Xu, 2006. "A Practical Procedure for Group Decision Making under Incomplete Multiplicative Linguistic Preference Relations," Group Decision and Negotiation, Springer, vol. 15(6), pages 581-591, November.
    2. Xu, Zeshui, 2005. "Deviation measures of linguistic preference relations in group decision making," Omega, Elsevier, vol. 33(3), pages 249-254, June.
    3. Wang, Reay-Chen & Chuu, Shian-Jong, 2004. "Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 154(3), pages 563-572, May.
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    6. Guangquan Zhang & Jie Lu, 2003. "An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria," Group Decision and Negotiation, Springer, vol. 12(6), pages 501-515, November.
    7. Liu, Chih-Ming & Wang, Mao-Jiun & Pang, Yock-Seng, 1994. "A multiple criteria linguistic decision model (MCLDM) for human decision making," European Journal of Operational Research, Elsevier, vol. 76(3), pages 466-485, August.
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    Cited by:

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    4. Ali Azarnivand & Arash Malekian, 2016. "Analysis of Flood Risk Management Strategies Based on a Group Decision Making Process via Interval-Valued Intuitionistic Fuzzy Numbers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1903-1921, April.
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    6. Danielle Costa Morais & Adiel Teixeira Almeida & José Rui Figueira, 2014. "A Sorting Model for Group Decision Making: A Case Study of Water Losses in Brazil," Group Decision and Negotiation, Springer, vol. 23(5), pages 937-960, September.

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