Fuzzy MCDA for remediation of a uranium tailing

Pérez-Sánchez, Danyl and Jiménez Martín, Antonio and Mateos Caballero, Alfonso and Dvorzhak, Alla (2014). Fuzzy MCDA for remediation of a uranium tailing. In: "7th International Conference on Uranium Mining and Hydrogeology", 29 Aug 2014, Freiberg, Alemania. ISBN 978-3-319-11059-2. pp. 113-122.


Title: Fuzzy MCDA for remediation of a uranium tailing
  • Pérez-Sánchez, Danyl
  • Jiménez Martín, Antonio
  • Mateos Caballero, Alfonso
  • Dvorzhak, Alla
Item Type: Presentation at Congress or Conference (Other)
Event Title: 7th International Conference on Uranium Mining and Hydrogeology
Event Dates: 29 Aug 2014
Event Location: Freiberg, Alemania
Title of Book: Uranium - Past and Future Challenges
Date: 2014
ISBN: 978-3-319-11059-2
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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The Pridneprovsky Chemical Plant was a largest uranium processing enterprises, producing a huge amount of uranium residues. The Zapadnoe tailings site contains the majority of these residues. We propose a theoretical framework based on Multi-Criteria Decision Analysis and fuzzy logic to analyse different remediation alternatives for the Zapadnoe tailings, in which potentially conflicting economic, radiological, social and environmental objectives are simultaneously taken into account. An objective hierarchy is built 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, it is proposed 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.

Funding Projects

Madrid Regional Government
Government of Spain

More information

Item ID: 37498
DC Identifier: https://oa.upm.es/37498/
OAI Identifier: oai:oa.upm.es:37498
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...
Deposited by: Memoria Investigacion
Deposited on: 10 May 2016 12:12
Last Modified: 30 Nov 2022 09:00
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