Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm

By 2025 the Republic of Colombia aims to be an advisory member of the Antarctic Treaty System (ATS) and the installation of a scientific station is necessary to upscale the scientific capabilities. The aim of this paper is showing the results of the implementation of a Fuzzy TOPSIS algorithm for sit...

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Autores principales: Coronado-Hernández, Jairo R., Rios-Angulo, Wilson A., Segovia, Camilo, Urrego-Niño, Diana, Romero-Conrado, Alfonso R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354803/
http://dx.doi.org/10.1007/978-3-030-53956-6_60
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author Coronado-Hernández, Jairo R.
Rios-Angulo, Wilson A.
Segovia, Camilo
Urrego-Niño, Diana
Romero-Conrado, Alfonso R.
author_facet Coronado-Hernández, Jairo R.
Rios-Angulo, Wilson A.
Segovia, Camilo
Urrego-Niño, Diana
Romero-Conrado, Alfonso R.
author_sort Coronado-Hernández, Jairo R.
collection PubMed
description By 2025 the Republic of Colombia aims to be an advisory member of the Antarctic Treaty System (ATS) and the installation of a scientific station is necessary to upscale the scientific capabilities. The aim of this paper is showing the results of the implementation of a Fuzzy TOPSIS algorithm for site selection of the Colombian Antarctic Scientific Station. A three-phase methodology was proposed, and the obtained results allowed to identify the optimum location for the station, considering key success factors and regulatory constraints.
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spelling pubmed-73548032020-07-13 Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm Coronado-Hernández, Jairo R. Rios-Angulo, Wilson A. Segovia, Camilo Urrego-Niño, Diana Romero-Conrado, Alfonso R. Advances in Swarm Intelligence Article By 2025 the Republic of Colombia aims to be an advisory member of the Antarctic Treaty System (ATS) and the installation of a scientific station is necessary to upscale the scientific capabilities. The aim of this paper is showing the results of the implementation of a Fuzzy TOPSIS algorithm for site selection of the Colombian Antarctic Scientific Station. A three-phase methodology was proposed, and the obtained results allowed to identify the optimum location for the station, considering key success factors and regulatory constraints. 2020-06-22 /pmc/articles/PMC7354803/ http://dx.doi.org/10.1007/978-3-030-53956-6_60 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Coronado-Hernández, Jairo R.
Rios-Angulo, Wilson A.
Segovia, Camilo
Urrego-Niño, Diana
Romero-Conrado, Alfonso R.
Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title_full Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title_fullStr Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title_full_unstemmed Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title_short Site Selection of the Colombian Antarctic Research Station Based on Fuzzy-Topsis Algorithm
title_sort site selection of the colombian antarctic research station based on fuzzy-topsis algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354803/
http://dx.doi.org/10.1007/978-3-030-53956-6_60
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