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Memorias de investigación
Capítulo de libro:
Fuzzy MCDA for Remediation of a Uranium Tailing
Año:2015
Áreas de investigación
  • Investigación operativa y programación matemática
Datos
Descripción
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.
Internacional
Si
DOI
Edición del Libro
Editorial del Libro
ISBN
978-3-319-11058-5
Serie
Título del Libro
Uranium ? Past and Future Challenges
Desde página
113
Hasta página
122
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Danyl Pérez-Sánchez (CIEMAT)
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Alla Dvorzhak (CIEMAT)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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