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

作者：Leyva Lopez Juan Carlos; Alvarez Carrillo Pavel Anselmo; Gastelum Chavira Diego Alonso; Solano Noriega Jesus Jaime

来源：Operational Research, 2017, 17(2): 499-534.

DOI：10.1007/s12351-016-0234-0

• Group decision support systems
• Multicriteria decision aid
• Ranking problem
• Coordination modes
• ELECTRE methods

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.

• 出版日期2017-7