Dominance intensity measure within fuzzy weight oriented MAUT: an application

Jiménez Martín, Antonio and Mateos Caballero, Alfonso and 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.

Description

Title: Dominance intensity measure within fuzzy weight oriented MAUT: an application
Author/s:
  • Jiménez Martín, Antonio
  • Mateos Caballero, Alfonso
  • Sabio, Pilar
Item Type: Article
Título de Revista/Publicación: Omega-International Journal of Management Science
Date: April 2013
ISSN: 0305-0483
Volume: 41
Subjects:
Freetext Keywords: Multi-criteria decisionmaking - Fuzzy sets - Environmental studies
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 26086
DC Identifier: http://oa.upm.es/26086/
OAI Identifier: oai:oa.upm.es:26086
DOI: 10.1016/j.omega.2012.03.004
Official URL: http://www.journals.elsevier.com/omega/
Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2014 09:45
Last Modified: 22 Sep 2014 11:39
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