A Multiobjective Evolutionary Approach to a Medium- Sized Multicriteria Ranking Problem A Multiobjective Evolutionary Approach to a Medium- Sized Multicriteria Ranking Problem

DOI

10.2991/.2013.23How to use a DOI?

Keywords

Multicriteria analysis; Valued outranking relations; Multiobjective evolutionary algorithms; Ranking procedure

Abstract

The framework of multiobjective optimization is used to tackle the multicriteria ranking problem. The conceptual advantages of the multiobjective formulation are discussed and a new multiobjective evolutionary algorithm is introduced with the purpose of transforming a known valued outranking relation into an antisymmetric crisp outranking relation, on a set of classes of alternatives, where the elements of each class are indifferent each other, and with this as a background, we propose a recommendation for ranking problems of medium-sized set of alternatives. The performance of the algorithm is evaluated on a test problem. It was capable of producing a high-quality recommendation.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan Carlos Leyva López
AU  - Jesús Jaime Solano Noriega
AU  - Diego Alonso Gastélum Chavira
AU  - Maria De los Dolores Sánchez Castañeda
PY  - 2013/10
DA  - 2013/10
TI  - A Multiobjective Evolutionary Approach to a Medium- Sized Multicriteria Ranking Problem A Multiobjective Evolutionary Approach to a Medium- Sized Multicriteria Ranking Problem
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 188
EP  - 197
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.23
DO  - 10.2991/.2013.23
ID  - LeyvaLópez2013/10
ER  -