Fuzzy Algorithm of discontinuity sets

Fuzzy Algorithm of discontinuity sets

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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Main Authors: Klen,André Monteiro, Lana,Milene Sabino
Format: Digital revista
Language:English
Published: Escola de Minas 2014
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012
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spelling oai:scielo:S0370-446720140004000122014-11-07Fuzzy Algorithm of discontinuity setsKlen,André MonteiroLana,Milene Sabino Discontinuity families Fuzzy K-means Clustering analysis 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.info:eu-repo/semantics/openAccessEscola de MinasRem: Revista Escola de Minas v.67 n.4 20142014-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012en10.1590/0370-44672014670178
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Klen,André Monteiro
Lana,Milene Sabino
spellingShingle Klen,André Monteiro
Lana,Milene Sabino
Fuzzy Algorithm of discontinuity sets
author_facet Klen,André Monteiro
Lana,Milene Sabino
author_sort Klen,André Monteiro
title Fuzzy Algorithm of discontinuity sets
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
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.
publisher Escola de Minas
publishDate 2014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000400012
work_keys_str_mv AT klenandremonteiro fuzzyalgorithmofdiscontinuitysets
AT lanamilenesabino fuzzyalgorithmofdiscontinuitysets
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