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Memorias de investigación
Communications at congresses:
Fuzzy MCDA for Remediation of a Uranium Tailing
Year:2014
Research Areas
  • Engineering
Information
Abstract
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.
International
Si
Congress
7th International Conference on Uranium Mining and Hydrogeology
960
Place
Freiberg, Alemania
Reviewers
Si
ISBN/ISSN
978-3-319-11058-5
Start Date
21/09/2014
End Date
25/09/2014
From page
113
To page
122
Uranium-Past and Future Challenges
Participants
  • Autor: Danyl Pérez-Sánchez
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: A. Devorzhak
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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