Fuzzy Algorithm of discontinuity sets
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | REM. Revista Escola de Minas (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012 |
Resumo: | The clustering of discontinuity sets is not always a trivial task, especially when only the pole density diagram is used, the classical method. This process is extremely subjective since the size of the counting circle, the pole overlapping, and the presence of outliers between families make it difficult to define their characteristics. In these cases, it is useful to apply numerical and classical methods together. For that, this article proposes an algorithm based on the Fuzzy K-means method that allows the clustering of the discontinuities without the influence of these factors. The algorithm had its results compared to two fracture sets studied in literature and it has proved its efficiency. |
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REM. Revista Escola de Minas (Online) |
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Fuzzy Algorithm of discontinuity setsDiscontinuity familiesFuzzy K-meansClustering analysisThe clustering of discontinuity sets is not always a trivial task, especially when only the pole density diagram is used, the classical method. This process is extremely subjective since the size of the counting circle, the pole overlapping, and the presence of outliers between families make it difficult to define their characteristics. In these cases, it is useful to apply numerical and classical methods together. For that, this article proposes an algorithm based on the Fuzzy K-means method that allows the clustering of the discontinuities without the influence of these factors. The algorithm had its results compared to two fracture sets studied in literature and it has proved its efficiency.Escola de Minas2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012Rem: Revista Escola de Minas v.67 n.4 2014reponame:REM. Revista Escola de Minas (Online)instname:Escola de Minasinstacron:ESCOLA DE MINAS10.1590/0370-44672014670178info:eu-repo/semantics/openAccessKlen,André MonteiroLana,Milene Sabinoeng2014-11-07T00:00:00Zoai:scielo:S0370-44672014000400012Revistahttp://www.scielo.br/remhttps://old.scielo.br/oai/scielo-oai.phpeditor@rem.com.br1807-03530370-4467opendoar:2014-11-07T00:00REM. Revista Escola de Minas (Online) - Escola de Minasfalse |
dc.title.none.fl_str_mv |
Fuzzy Algorithm of discontinuity sets |
title |
Fuzzy Algorithm of discontinuity sets |
spellingShingle |
Fuzzy Algorithm of discontinuity sets Klen,André Monteiro Discontinuity families Fuzzy K-means Clustering analysis |
title_short |
Fuzzy Algorithm of discontinuity sets |
title_full |
Fuzzy Algorithm of discontinuity sets |
title_fullStr |
Fuzzy Algorithm of discontinuity sets |
title_full_unstemmed |
Fuzzy Algorithm of discontinuity sets |
title_sort |
Fuzzy Algorithm of discontinuity sets |
author |
Klen,André Monteiro |
author_facet |
Klen,André Monteiro Lana,Milene Sabino |
author_role |
author |
author2 |
Lana,Milene Sabino |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Klen,André Monteiro Lana,Milene Sabino |
dc.subject.por.fl_str_mv |
Discontinuity families Fuzzy K-means Clustering analysis |
topic |
Discontinuity families Fuzzy K-means Clustering analysis |
description |
The clustering of discontinuity sets is not always a trivial task, especially when only the pole density diagram is used, the classical method. This process is extremely subjective since the size of the counting circle, the pole overlapping, and the presence of outliers between families make it difficult to define their characteristics. In these cases, it is useful to apply numerical and classical methods together. For that, this article proposes an algorithm based on the Fuzzy K-means method that allows the clustering of the discontinuities without the influence of these factors. The algorithm had its results compared to two fracture sets studied in literature and it has proved its efficiency. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0370-44672014670178 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola de Minas |
publisher.none.fl_str_mv |
Escola de Minas |
dc.source.none.fl_str_mv |
Rem: Revista Escola de Minas v.67 n.4 2014 reponame:REM. Revista Escola de Minas (Online) instname:Escola de Minas instacron:ESCOLA DE MINAS |
instname_str |
Escola de Minas |
instacron_str |
ESCOLA DE MINAS |
institution |
ESCOLA DE MINAS |
reponame_str |
REM. Revista Escola de Minas (Online) |
collection |
REM. Revista Escola de Minas (Online) |
repository.name.fl_str_mv |
REM. Revista Escola de Minas (Online) - Escola de Minas |
repository.mail.fl_str_mv |
editor@rem.com.br |
_version_ |
1754122198975512576 |