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A web-based group decision support system for multicriteria ranking problems

Author

Listed:
  • Juan Carlos Leyva López

    (Universidad de Occidente
    Universidad Autónoma de Sinaloa, Ciudad Universitaria)

  • Pavel Anselmo Álvarez Carrillo

    (Universidad de Occidente
    Universidad Autónoma de Sinaloa, Ciudad Universitaria)

  • Diego Alonso Gastélum Chavira

    (Universidad Autónoma de Sinaloa, Ciudad Universitaria)

  • Jesús Jaime Solano Noriega

    (Universidad Autónoma de Ciudad Juárez)

Abstract

In this paper, we present an implemented, web-based multicriteria group decision support system for solving multicriteria ranking problems by a collaborative group of decision-makers in sequential or parallel coordination mode and in a distributed and asynchronous environment. This system employs an order-based consensus model for collaborative groups that moves from consistency to consensus. The system is based on consensus measures and it has been designed to provide advice to the decision-makers to increase group consensus level while maintaining the individual consistency of each decision-maker. It is based on the use of fuzzy outranking relations to model individual and group preferences. For the exploitation of the models—formulated as a multiobjective optimization problem and solved with a multiobjective evolutionary algorithm—the system generates advice on how decision-makers should change their preferences to reach a ranking of alternatives with a high degree of consistency and consensus.

Suggested Citation

  • Juan Carlos Leyva López & Pavel Anselmo Álvarez Carrillo & Diego Alonso Gastélum Chavira & Jesús Jaime Solano Noriega, 2017. "A web-based group decision support system for multicriteria ranking problems," Operational Research, Springer, vol. 17(2), pages 499-534, July.
    • Handle: RePEc:spr:operea:v:17:y:2017:i:2:d:10.1007_s12351-016-0234-0
    DOI: 10.1007/s12351-016-0234-0
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    References listed on IDEAS

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    1. Juan Carlos Leyva López & Mario Araoz Medina, 2013. "A multi-objective extension of the net flow rule for exploiting a valued outranking relation," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 3(1), pages 36-54.
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