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

Juan Carlos Leyva López (), Pavel Anselmo Álvarez Carrillo (), Diego Alonso Gastélum Chavira () and Jesús Jaime Solano Noriega ()
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Juan Carlos Leyva López: Universidad de Occidente
Pavel Anselmo Álvarez Carrillo: Universidad de Occidente
Diego Alonso Gastélum Chavira: Universidad Autónoma de Sinaloa, Ciudad Universitaria
Jesús Jaime Solano Noriega: Universidad Autónoma de Ciudad Juárez

Operational Research, 2017, vol. 17, issue 2, No 7, 499-534

Abstract: 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.

Keywords: Group decision support systems; Multicriteria decision aid; Ranking problem; Coordination modes; ELECTRE methods (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s12351-016-0234-0

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