Model for ore deposits selection by using the fuzzy TOPSIS method
Decision-makers are often being faced with imprecise and ambiguous data. In such circumstances, the use of extended Multiple-Criteria Decision-Making (MCDM) method is more appropriate than the use of other classic decision-making techniques. This paper develops an evaluation model based on the Techn...
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University of Belgrade, Technical Faculty Bor
2020-01-01
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Series: | Journal of Mining and Metallurgy. Section A: Mining |
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1450-5959/2020/1450-59592001059P.pdf |
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doaj-90841e87963a486483d8f10ea34329292021-01-24T11:17:39ZengUniversity of Belgrade, Technical Faculty BorJournal of Mining and Metallurgy. Section A: Mining1450-59592560-31592020-01-0156159711450-59592001059PModel for ore deposits selection by using the fuzzy TOPSIS methodPopović G.0Stanujkić D.1https://orcid.org/0000-0002-6846-3074Karabašević D.2https://orcid.org/0000-0001-5308-2503Štirbanović Z.3https://orcid.org/0000-0001-7571-2844University Business Academy in Novi Sad, Faculty of Applied Management, Belgrade, SerbiaUniversity in Belgrade, Technical Faculty, Bor, SerbiaUniversity Business Academy in Novi Sad, Faculty of Applied Management, Belgrade, SerbiaUniversity in Belgrade, Technical Faculty, Bor, SerbiaDecision-makers are often being faced with imprecise and ambiguous data. In such circumstances, the use of extended Multiple-Criteria Decision-Making (MCDM) method is more appropriate than the use of other classic decision-making techniques. This paper develops an evaluation model based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to help the selection of the appropriate ore deposit for exploitation in a fuzzy environment. The applicability of the proposed model is demonstrated with a real case study involving four alternative ore deposits, seven evaluation criteria, and 3 decision-makers.https://scindeks-clanci.ceon.rs/data/pdf/1450-5959/2020/1450-59592001059P.pdfore deposit selectionfuzzy topsismcdm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Popović G. Stanujkić D. Karabašević D. Štirbanović Z. |
spellingShingle |
Popović G. Stanujkić D. Karabašević D. Štirbanović Z. Model for ore deposits selection by using the fuzzy TOPSIS method Journal of Mining and Metallurgy. Section A: Mining ore deposit selection fuzzy topsis mcdm |
author_facet |
Popović G. Stanujkić D. Karabašević D. Štirbanović Z. |
author_sort |
Popović G. |
title |
Model for ore deposits selection by using the fuzzy TOPSIS method |
title_short |
Model for ore deposits selection by using the fuzzy TOPSIS method |
title_full |
Model for ore deposits selection by using the fuzzy TOPSIS method |
title_fullStr |
Model for ore deposits selection by using the fuzzy TOPSIS method |
title_full_unstemmed |
Model for ore deposits selection by using the fuzzy TOPSIS method |
title_sort |
model for ore deposits selection by using the fuzzy topsis method |
publisher |
University of Belgrade, Technical Faculty Bor |
series |
Journal of Mining and Metallurgy. Section A: Mining |
issn |
1450-5959 2560-3159 |
publishDate |
2020-01-01 |
description |
Decision-makers are often being faced with imprecise and ambiguous data. In such circumstances, the use of extended Multiple-Criteria Decision-Making (MCDM) method is more appropriate than the use of other classic decision-making techniques. This paper develops an evaluation model based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to help the selection of the appropriate ore deposit for exploitation in a fuzzy environment. The applicability of the proposed model is demonstrated with a real case study involving four alternative ore deposits, seven evaluation criteria, and 3 decision-makers. |
topic |
ore deposit selection fuzzy topsis mcdm |
url |
https://scindeks-clanci.ceon.rs/data/pdf/1450-5959/2020/1450-59592001059P.pdf |
work_keys_str_mv |
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