Items where author is "Aguayo Garcia, Ernesto Aaron"
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Aguayo Garcia, Ernesto Aaron, Mateos Caballero, Alfonso and Jiménez Martín, Antonio (2014). A new dominance intensity method to deal with ordinal information about a DM's preferences within MAVT. "Knowledge-Based Systems", v. null (n. null); pp.. ISSN 0950-7051. https://doi.org/10.1016/j.knosys.2014.05.017.
Presentation at Congress or Conference
Mateos Caballero, Alfonso, Jiménez Martín, Antonio, Aguayo Garcia, Ernesto Aaron and Sabio, Pilar (2012). Preference intensity in MCDM when an additive utility function represents DM preferences. In: "10th International FLINS Conference. Uncertainty Modeling in Knowledge Engineering and Decision Making", 26/08/2012 - 29/08/2012, Estambul, Turquía.. ISBN 978-981-4417-73-0. pp. 106-111.
Mateos Caballero, Alfonso, Jiménez Martín, Antonio, Moreno Díaz, Arminda and Aguayo Garcia, Ernesto Aaron (2010). Dominance Measuring Approach using Stochastic Weights. In: "25th Mini-EURO Conference Uncertainty and Robustness in Planning and Decision Making, URPDM 2010", 15/04/2010 - 17/04/2010, Coimbra, Portugal. ISBN 978-989-95055-3-7.
Mateos Caballero, Alfonso, Jiménez Martín, Antonio, Aguayo Garcia, Ernesto Aaron and Sabio Flores, Pilar (2010). Métodos de ordenación de alternativas basados en la intensidad de dominancia para problemas multiatributo impreciso. In: "XXXII Congreso Nacional de Estadística e Investigación Operativa", 14-17 Sep 2010, La Coruña, España. ISBN 978-84-693-6152-8. p. 79.
Mateos Caballero, Alfonso, Jiménez Martín, Antonio, Aguayo Garcia, Ernesto Aaron and Moreno Díaz, Arminda (2010). Ranking Alternatives on the Basis of a Dominance Intensity Measure. In: "15th IFIP Working Group 8.3 International Conference, DSS 2010.", 07/07/2010 - 10/07/2010, Lisboa, Portugal. ISBN 9781607505761.
Thesis
Aguayo Garcia, Ernesto Aaron (2014). Dominance intensity methods for ranking of alternatives in mcdm with imprecise information. Thesis (Doctoral), E.T.S. de Ingenieros Informáticos (UPM). https://doi.org/10.20868/UPM.thesis.31022.
