Dominance intensity measuring methods in MCDM with ordinal relations regarding weights

Mateos Caballero, Alfonso and Jiménez Martín, Antonio and Aguayo García, Ernesto Aarón 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.

Description

Title: Dominance intensity measuring methods in MCDM with ordinal relations regarding weights
Author/s:
  • Mateos Caballero, Alfonso
  • Jiménez Martín, Antonio
  • Aguayo García, Ernesto Aarón
  • Sabio Flores, Pilar
Item Type: Article
Título de Revista/Publicación: Knowledge-Based Systems
Date: 2014
ISSN: 0950-7051
Volume: 70
Subjects:
Freetext Keywords: Dominance intensity; MCDM; Additive value function; Imprecision; Monte Carlo simulation
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 53514
DC Identifier: http://oa.upm.es/53514/
OAI Identifier: oai:oa.upm.es:53514
DOI: 10.1016/j.knosys.2013.12.002
Official URL: https://www.sciencedirect.com/science/article/pii/S0950705113003821
Deposited by: Memoria Investigacion
Deposited on: 05 Feb 2019 10:56
Last Modified: 05 Feb 2019 10:56
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