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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Leyva Lopez, J.C. Gastelum Chavira, D.A. Solano Noriega, J.J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Univ. de Occidente, Culiacan, Mexico (Leyva Lopez, J.C.; Gastelum Chavira, D.A.) || Univ. Autonoma de Ciudad Juarez, Ciudad Juárez, Mexico (Solano Noriega, J.J.) |
| Abstract | In this paper, a heuristic, based on the non dominated sorting genetic algorithm II (NSGA II), is developed to exploit a known fuzzy outranking relation, with the purpose of constructing a recommendation for a medium-sized multicriteria ranking problem. The performance of the proposed evolutionary algorithm is evaluated on a real medium-sized problem. The results indicate that the proposed evolutionary algorithm can effectively be used to solve medium-sized multicriteria ranking problems. |
| Starting Page | 24 |
| Ending Page | 31 |
| File Size | 1273202 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479944675 |
| DOI | 10.1109/MCDM.2014.7007184 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Sociology Evolutionary computation ranking procedures Linear programming fuzzy outranking relations Statistics multicriteria analysis Optimization multiobjective evolutionary algorithms Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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