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

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

Description

Title: A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine
Author/s:
  • Jiménez Martín, Antonio
  • Martín Blanco, Miguel Carlos
  • Mateos Caballero, Alfonso
  • Pérez-Sánchez, Danyl
  • Dvorzhak, Alla
Item Type: Presentation at Congress or Conference (Article)
Event Title: 4th International Conference on Risk Analysis and Crisis Response
Event Dates: 23-29 Aug 2013
Event Location: Estambul, Turquía
Title of Book: Intelligent Systems and Decision Making for Risk Analysis and Crisis Response
Date: 2013
ISBN: 978-1-138-00019-3
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 26124
DC Identifier: http://oa.upm.es/26124/
OAI Identifier: oai:oa.upm.es:26124
Official URL: http://www.racr2013.itu.edu.tr/index.html
Deposited by: Memoria Investigacion
Deposited on: 22 Jul 2014 11:15
Last Modified: 22 Sep 2014 11:39
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