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Dominance intensity measuring methods in MCDM with ordinal relations regarding weights
Cita
Mateos Caballero, Alfonso 
ORCID: https://orcid.org/0000-0003-4764-6047, Jiménez Martín, Antonio ORCID: https://orcid.org/0000-0002-4947-8430, Aguayo Garcia, Ernesto Aaron and Sabio Flores, Pilar
(2014).
Dominance intensity measuring methods in MCDM with ordinal relations regarding weights.
"Knowledge-Based Systems", v. 70
;
pp. 26-32.
ISSN 0950-7051.
https://doi.org/10.1016/j.knosys.2013.12.002.
ORCID: https://orcid.org/0000-0003-4764-6047, Jiménez Martín, Antonio ORCID: https://orcid.org/0000-0002-4947-8430, Aguayo Garcia, Ernesto Aaron and Sabio Flores, Pilar
(2014).
Dominance intensity measuring methods in MCDM with ordinal relations regarding weights.
"Knowledge-Based Systems", v. 70
;
pp. 26-32.
ISSN 0950-7051.
https://doi.org/10.1016/j.knosys.2013.12.002.
Descripción
| Título: | Dominance intensity measuring methods in MCDM with ordinal relations regarding weights |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Knowledge-Based Systems |
| Fecha: | 2014 |
| ISSN: | 0950-7051 |
| Volumen: | 70 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Dominance intensity; MCDM; Additive value function; Imprecision; Monte Carlo simulation |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
We consider a multicriteria decision-making context in which the decision-maker?s preferences are represented by a multi-attribute additive value function. We account for imprecision concerning the performance of alternatives, value functions and weights, which represent the relative importance of criteria. We propose two new methods based on dominance intensity measures aimed at ranking alternatives. Both methods can be applied to different representations of imprecision about weights. Their performance is compared with other existing approaches when ordinal weight information represents imprecision concerning weights. Monte Carlo simulation is used for the comparison in terms of a hit ratio and a rank-order correlation.
Más información
| ID de Registro: | 53514 |
|---|---|
| Identificador DC: | https://oa.upm.es/53514/ |
| Identificador OAI: | oai:oa.upm.es:53514 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5490687 |
| Identificador DOI: | 10.1016/j.knosys.2013.12.002 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 05 Feb 2019 10:56 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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