Dominance Measuring Method Performance under Incomplete Information about Weights.

Mateos Caballero, Alfonso and Jiménez Martín, Antonio and Blanco Agudo, José Francisco (2012). Dominance Measuring Method Performance under Incomplete Information about Weights.. "Journal of multi-criteria decision analysis", v. 19 (n. 3-4); pp. 129-142. ISSN 1057-9214. https://doi.org/10.1002/mcda.1467.

Description

Title: Dominance Measuring Method Performance under Incomplete Information about Weights.
Author/s:
  • Mateos Caballero, Alfonso
  • Jiménez Martín, Antonio
  • Blanco Agudo, José Francisco
Item Type: Article
Título de Revista/Publicación: Journal of multi-criteria decision analysis
Date: 2012
ISSN: 1057-9214
Volume: 19
Subjects:
Freetext Keywords: multi-attribute utility theory, incomplete information about weights, dominance measuring methods, SMAA, Monte Carlo simulation, teoría de la utilidad de varios atributos, información incompleta sobre ponderaciones, métodos de medición dominantes, simulación Monte Carlo.
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In multi-attribute utility theory, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. A very widespread approach is to gather incomplete information. A recent approach for dealing with such situations is to use information about each alternative?s intensity of dominance, known as dominance measuring methods. Different dominancemeasuring methods have been proposed, and simulation studies have been carried out to compare these methods with each other and with other approaches but only when ordinal information about weights is available. In this paper, we useMonte Carlo simulation techniques to analyse the performance of and adapt such methods to deal with weight intervals, weights fitting independent normal probability distributions orweights represented by fuzzy numbers.Moreover, dominance measuringmethod performance is also compared with a widely used methodology dealing with incomplete information on weights, the stochastic multicriteria acceptability analysis (SMAA). SMAA is based on exploring the weight space to describe the evaluations that would make each alternative the preferred one.

More information

Item ID: 15890
DC Identifier: http://oa.upm.es/15890/
OAI Identifier: oai:oa.upm.es:15890
DOI: 10.1002/mcda.1467
Official URL: http://onlinelibrary.wiley.com/doi/10.1002/mcda.1467/abstract
Deposited by: Memoria Investigacion
Deposited on: 20 Jun 2013 14:46
Last Modified: 21 Apr 2016 16:12
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