Dominance intensity measure within fuzzy weight oriented MAUT: an application

Jiménez Martín, Antonio; Mateos Caballero, Alfonso y Sabio, Pilar (2013). Dominance intensity measure within fuzzy weight oriented MAUT: an application. "Omega-International Journal of Management Science", v. 41 (n. 2); pp. 397-405. ISSN 0305-0483. https://doi.org/10.1016/j.omega.2012.03.004.

Descripción

Título: Dominance intensity measure within fuzzy weight oriented MAUT: an application
Autor/es:
  • Jiménez Martín, Antonio
  • Mateos Caballero, Alfonso
  • Sabio, Pilar
Tipo de Documento: Artículo
Título de Revista/Publicación: Omega-International Journal of Management Science
Fecha: Abril 2013
Volumen: 41
Materias:
Palabras Clave Informales: Multi-criteria decisionmaking - Fuzzy sets - Environmental studies
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We introduce a dominance intensity measuring method to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision-making problems on the basis of multi-attribute utility theory (MAUT) and fuzzy sets theory. We consider the situation where there is imprecision concerning decision-makers’ preferences, and imprecise weights are represented by trapezoidal fuzzy weights.The proposed method is based on the dominance values between pairs of alternatives. These values can be computed by linear programming, as an additive multi-attribute utility model is used to rate the alternatives. Dominance values are then transformed into dominance intensity measures, used to rank the alternatives under consideration. Distances between fuzzy numbers based on the generalization of the left and right fuzzy numbers are utilized to account for fuzzy weights. An example concerning the selection of intervention strategies to restore an aquatic ecosystem contaminated by radionuclides illustrates the approach. Monte Carlo simulation techniques have been used to show that the proposed method performs well for different imprecision levels in terms of a hit ratio and a rank-order correlation measure.

Más información

ID de Registro: 26086
Identificador DC: http://oa.upm.es/26086/
Identificador OAI: oai:oa.upm.es:26086
Identificador DOI: 10.1016/j.omega.2012.03.004
URL Oficial: http://www.journals.elsevier.com/omega/
Depositado por: Memoria Investigacion
Depositado el: 05 Jun 2014 09:45
Ultima Modificación: 22 Sep 2014 11:39
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