A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine

Jiménez Martín, Antonio; Martín Blanco, Miguel Carlos; Mateos Caballero, Alfonso; Pérez-Sánchez, Danyl y Dvorzhak, Alla (2013). A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine. En: "4th International Conference on Risk Analysis and Crisis Response", 23-29 Aug 2013, Estambul, Turquía. ISBN 978-1-138-00019-3. pp. 81-88.

Descripción

Título: A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine
Autor/es:
  • Jiménez Martín, Antonio
  • Martín Blanco, Miguel Carlos
  • Mateos Caballero, Alfonso
  • Pérez-Sánchez, Danyl
  • Dvorzhak, Alla
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 4th International Conference on Risk Analysis and Crisis Response
Fechas del Evento: 23-29 Aug 2013
Lugar del Evento: Estambul, Turquía
Título del Libro: Intelligent Systems and Decision Making for Risk Analysis and Crisis Response
Fecha: 2013
ISBN: 978-1-138-00019-3
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework based on multicriteria decision analysis and fuzzy logic to analyze different remediation alternatives for the Zapadnoe tailings, which simultaneously accounts for potentially conflicting economic, social and environmental objectives. We build an objective hierarchy that includes all the relevant aspects. Fuzzy rather than precise values are proposed for use to evaluate remediation alternatives against the different criteria and to quantify preferences, such as the weights representing the relative importance of criteria identified in the objective hierarchy. Finally, we suggest that remediation alternatives should be evaluated by means of a fuzzy additive multi-attribute utility function and ranked on the basis of the respective trapezoidal fuzzy number representing their overall utility.

Más información

ID de Registro: 26124
Identificador DC: http://oa.upm.es/26124/
Identificador OAI: oai:oa.upm.es:26124
URL Oficial: http://www.racr2013.itu.edu.tr/index.html
Depositado por: Memoria Investigacion
Depositado el: 22 Jul 2014 11:15
Ultima Modificación: 22 Sep 2014 11:39
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