Issue |
EPJ Nuclear Sci. Technol.
Volume 2, 2016
|
|
---|---|---|
Article Number | 6 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/epjn/e2015-50039-x | |
Published online | 10 February 2016 |
https://doi.org/10.1051/epjn/e2015-50039-x
Regular Article
Selection of a tool to decision making for site selection for high level waste
1
Celso Suckow Fonseca Federal Center for Technological Education–(CEFET), Areal street, 522 Sq. Mambucaba, Angra dos Reis, Brazil
2
Nuclear engineering program–(PEN/UFRJ/COPPE-RJ), Federal University of Rio de Janeiro, Horácio Macedo avenue 2030, Technology Center Building, University City, 21941-972 Rio de Janeiro, Brazil
* e-mail: guiller.nuclear@ufrj.br.
Received:
25
May
2015
Accepted:
27
November
2015
Published online:
10
February
2016
The aim of this paper is to create a panel comparing some of the key decision-making support tools used in situations with the characteristics of the problem of selecting suitable areas for constructing a final deep geologic repository. The tools addressed in this work are also well known and with easy implementation. The decision-making process in matters of this kind is, in general, complex due to its multicriteria nature and the conflicting opinions of various stakeholders. Thus, a comprehensive study was performed with the literature in this subject, specifically in documents of the International Atomic Energy Agency (IAEA), regarding the importance of the criteria involved in the decision-making process. Therefore, we highlighted six judgment attributes for selecting a decision support tool, suitable for the problem. For this study, we have selected the following multicriteria tools: AHP, Delphi, Brainstorm, Nominal Group Technique and AHP-Delphi. Finally, the AHP-Delphi method has demonstrated to be more appropriate for managing the inherent multiple attributes to the problem proposed.
© J. Guiller Madeira et al., published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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