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ORCID: https://orcid.org/0000-0002-4947-8430, Martín Blanco, Miguel Carlos, Pérez-Sánchez, Danyl, Mateos Caballero, Alfonso
ORCID: https://orcid.org/0000-0003-4764-6047 and Dvorzhak, Alla
(2016).
A MCDA framework for the remediation of zapadnoe uranium mill tailings: a fuzzy approach.
"Journal of Multiple-Valued Logic and Soft Computing", v. 26
(n. 6);
pp. 529-540.
ISSN 1542-3980.
| Título: | A MCDA framework for the remediation of zapadnoe uranium mill tailings: a fuzzy approach |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Journal of Multiple-Valued Logic and Soft Computing |
| Fecha: | 2016 |
| ISSN: | 1542-3980 |
| Volumen: | 26 |
| Número: | 6 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | MCDA; Uranium mill tailings; Fuzzy logic |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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We propose a theoretical framework based on MCDA and fuzzy logic to analyze remediation alternatives for the Zapadnoe uranium mill tailings (Ukraine).We account for potentially conflicting economic, social, radiological and environmental objectives, which are included in an objective hierarchy. 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. Remediation alternatives are evaluated by means of a fuzzy additive multi-attribute utility function and ranked on the basis of the similarity of the respective trapezoidal fuzzy number representing their overall utility to the anti-ideal point.
| ID de Registro: | 45909 |
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| Identificador DC: | https://oa.upm.es/45909/ |
| Identificador OAI: | oai:oa.upm.es:45909 |
| URL Oficial: | http://www.oldcitypublishing.com/journals/mvlsc-ho... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Oct 2017 11:32 |
| Ultima Modificación: | 12 Ene 2023 10:39 |
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