A multi-objective extension of the net flow rule for exploiting a valued outranking relation

Juan Carlos Leyva López and Mario Araoz Medina

International Journal of Multicriteria Decision Making, 2013, vol. 3, issue 1, 36-54

Abstract: This paper presents a multiobjective extension of the net flow rule for solving multicriteria ranking problems: how to rank a set of alternatives when the aggregation model of preferences is a known valued outranking relation in a decreasing order of preference. When the aggregation model of preferences is based on the outranking approach, special treatment is required, but some non-consistent situations of the explicit global model of preferences could happen. In this case, the exploitation phase could then be treated as a multiobjective optimisation problem. In this way, a number of solutions can be found that provide the decision-maker with insight into the characteristics of the problem before a final solution is chosen. We present a multiobjective evolutionary algorithm for improving the quality of a recommendation when a valued outranking relation is exploited; the performance of the algorithm is evaluated on a set of test problems. Our computational results show that the multiobjective genetic algorithm-based heuristic is capable of producing high-quality recommendations.

Keywords: multicriteria analysis; multicriteria ranking; valued outranking relations; multiobjective evolutionary algorithms; MOEAs; ranking procedures; net flow rule; NFR; genetic algorithms. (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (3)

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