Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates

Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates

One of the main problems in the area of pattern recognition in biomedical research areas is to determine clusters of patterns with similar features. It is especially relevant in the case of intuitionistic fuzzy sets. In the present paper an iterative procedure for clustering of patterns represented...

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Bibliographic Details
Main Authors: Liudmila Todorova, Peter Vassilev
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2010-04-01
Series:International Journal Bioautomation
Subjects:
Intuitionistic fuzzy sets
Pattern recognition
Distance
Similarity measures between IFS
Online Access:http://www.clbme.bas.bg/bioautomation/2010/vol_14.1/files/14.1_06.pdf
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spelling doaj-d06260e8961842099511d07c6baac7ac2020-11-25T03:31:56ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212010-04-011416168Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy EstimatesLiudmila TodorovaPeter VassilevOne of the main problems in the area of pattern recognition in biomedical research areas is to determine clusters of patterns with similar features. It is especially relevant in the case of intuitionistic fuzzy sets. In the present paper an iterative procedure for clustering of patterns represented by their intuitionistic fuzzy sets - degrees of membership, degrees of non-membership and indeterminacy. The procedure is open to selection and application of an appropriate to the data distribution similarity measure for intuitionistic fuzzy sets.http://www.clbme.bas.bg/bioautomation/2010/vol_14.1/files/14.1_06.pdfIntuitionistic fuzzy setsPattern recognitionDistanceSimilarity measures between IFS
collection DOAJ
language English
format Article
sources DOAJ
author Liudmila Todorova
Peter Vassilev
spellingShingle Liudmila Todorova
Peter Vassilev
Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
International Journal Bioautomation
Intuitionistic fuzzy sets
Pattern recognition
Distance
Similarity measures between IFS
author_facet Liudmila Todorova
Peter Vassilev
author_sort Liudmila Todorova
title Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
title_short Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
title_full Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
title_fullStr Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
title_full_unstemmed Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates
title_sort algorithm for clustering data set represented by intuitionistic fuzzy estimates
publisher Bulgarian Academy of Sciences
series International Journal Bioautomation
issn 1314-1902
1314-2321
publishDate 2010-04-01
description One of the main problems in the area of pattern recognition in biomedical research areas is to determine clusters of patterns with similar features. It is especially relevant in the case of intuitionistic fuzzy sets. In the present paper an iterative procedure for clustering of patterns represented by their intuitionistic fuzzy sets - degrees of membership, degrees of non-membership and indeterminacy. The procedure is open to selection and application of an appropriate to the data distribution similarity measure for intuitionistic fuzzy sets.
topic Intuitionistic fuzzy sets
Pattern recognition
Distance
Similarity measures between IFS
url http://www.clbme.bas.bg/bioautomation/2010/vol_14.1/files/14.1_06.pdf
work_keys_str_mv AT liudmilatodorova algorithmforclusteringdatasetrepresentedbyintuitionisticfuzzyestimates
AT petervassilev algorithmforclusteringdatasetrepresentedbyintuitionisticfuzzyestimates
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