Dominance Measuring Method Performance under Incomplete Information about Weights.

Mateos Caballero, Alfonso; Jiménez Martín, Antonio y 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.

Descripción

Título: Dominance Measuring Method Performance under Incomplete Information about Weights.
Autor/es:
  • Mateos Caballero, Alfonso
  • Jiménez Martín, Antonio
  • Blanco Agudo, José Francisco
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of multi-criteria decision analysis
Fecha: 2012
Volumen: 19
Materias:
Palabras Clave Informales: 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.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (949kB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 15890
Identificador DC: http://oa.upm.es/15890/
Identificador OAI: oai:oa.upm.es:15890
Identificador DOI: 10.1002/mcda.1467
URL Oficial: http://onlinelibrary.wiley.com/doi/10.1002/mcda.1467/abstract
Depositado por: Memoria Investigacion
Depositado el: 20 Jun 2013 14:46
Ultima Modificación: 21 Abr 2016 16:12
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM