Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance

This paper deals with the problem of a heuristic approach to possibilistic clustering. The approach is based on the concept of allotment among fuzzy clusters. The paper provides the description of basic concepts of the heuristic approach to possibilistic clustering. Plans of direct prototype-based h...

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Main Authors: Dmitri A. VIATTCHENIN, Aliaksandr DAMARATSKI
Format: Article
Language:English
Published: Inforec Association 2013-01-01
Series:Informatică economică
Subjects:
Online Access:http://revistaie.ase.ro/content/67/01%20-%20Viattchenin,%20Damaratski.pdf
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author Dmitri A. VIATTCHENIN
Aliaksandr DAMARATSKI
author_facet Dmitri A. VIATTCHENIN
Aliaksandr DAMARATSKI
author_sort Dmitri A. VIATTCHENIN
collection DOAJ
description This paper deals with the problem of a heuristic approach to possibilistic clustering. The approach is based on the concept of allotment among fuzzy clusters. The paper provides the description of basic concepts of the heuristic approach to possibilistic clustering. Plans of direct prototype-based heuristic algorithms of possibilistic clustering based on a transitive approximation of a fuzzy tolerance are described in detail. An illustrative example of application of the basic version of the proposed algorithms to Sneath and Sokal's two-dimensional data set is considered. Preliminary conclusions are formulated.
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spelling doaj.art-fb80afa2fd874f75838c24e8ec6ab03c2022-12-21T18:41:30ZengInforec AssociationInformatică economică1453-13051842-80882013-01-0117351510.12948/issn14531305/17.3.2013.01Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy ToleranceDmitri A. VIATTCHENINAliaksandr DAMARATSKIThis paper deals with the problem of a heuristic approach to possibilistic clustering. The approach is based on the concept of allotment among fuzzy clusters. The paper provides the description of basic concepts of the heuristic approach to possibilistic clustering. Plans of direct prototype-based heuristic algorithms of possibilistic clustering based on a transitive approximation of a fuzzy tolerance are described in detail. An illustrative example of application of the basic version of the proposed algorithms to Sneath and Sokal's two-dimensional data set is considered. Preliminary conclusions are formulated.http://revistaie.ase.ro/content/67/01%20-%20Viattchenin,%20Damaratski.pdfClusteringFuzzy ToleranceTransitive ApproximationAllotmentFuzzy Cluster
spellingShingle Dmitri A. VIATTCHENIN
Aliaksandr DAMARATSKI
Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
Informatică economică
Clustering
Fuzzy Tolerance
Transitive Approximation
Allotment
Fuzzy Cluster
title Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
title_full Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
title_fullStr Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
title_full_unstemmed Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
title_short Direct Heuristic Algorithms of Possibilistic Clustering Based on Transitive Approximation of Fuzzy Tolerance
title_sort direct heuristic algorithms of possibilistic clustering based on transitive approximation of fuzzy tolerance
topic Clustering
Fuzzy Tolerance
Transitive Approximation
Allotment
Fuzzy Cluster
url http://revistaie.ase.ro/content/67/01%20-%20Viattchenin,%20Damaratski.pdf
work_keys_str_mv AT dmitriaviattchenin directheuristicalgorithmsofpossibilisticclusteringbasedontransitiveapproximationoffuzzytolerance
AT aliaksandrdamaratski directheuristicalgorithmsofpossibilisticclusteringbasedontransitiveapproximationoffuzzytolerance