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Implementation of Steiner Point of Fuzzy Set

This paper deals with the implementation of Steiner point of fuzzy set. Some definitions and properties of Steiner point are investigated and extended to fuzzy set. This paper focuses on establishing efficient methods to compute Steiner point of fuzzy set. Two strategies of computing Steiner point o...

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Detalles Bibliográficos
Autores principales: Liang, Jiuzhen, Wang, Dejiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000674/
https://www.ncbi.nlm.nih.gov/pubmed/25161396
http://dx.doi.org/10.1155/2014/593065
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author Liang, Jiuzhen
Wang, Dejiang
author_facet Liang, Jiuzhen
Wang, Dejiang
author_sort Liang, Jiuzhen
collection PubMed
description This paper deals with the implementation of Steiner point of fuzzy set. Some definitions and properties of Steiner point are investigated and extended to fuzzy set. This paper focuses on establishing efficient methods to compute Steiner point of fuzzy set. Two strategies of computing Steiner point of fuzzy set are proposed. One is called linear combination of Steiner points computed by a series of crisp α-cut sets of the fuzzy set. The other is an approximate method, which is trying to find the optimal α-cut set approaching the fuzzy set. Stability analysis of Steiner point of fuzzy set is also studied. Some experiments on image processing are given, in which the two methods are applied for implementing Steiner point of fuzzy image, and both strategies show their own advantages in computing Steiner point of fuzzy set.
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spelling pubmed-40006742014-08-26 Implementation of Steiner Point of Fuzzy Set Liang, Jiuzhen Wang, Dejiang ScientificWorldJournal Research Article This paper deals with the implementation of Steiner point of fuzzy set. Some definitions and properties of Steiner point are investigated and extended to fuzzy set. This paper focuses on establishing efficient methods to compute Steiner point of fuzzy set. Two strategies of computing Steiner point of fuzzy set are proposed. One is called linear combination of Steiner points computed by a series of crisp α-cut sets of the fuzzy set. The other is an approximate method, which is trying to find the optimal α-cut set approaching the fuzzy set. Stability analysis of Steiner point of fuzzy set is also studied. Some experiments on image processing are given, in which the two methods are applied for implementing Steiner point of fuzzy image, and both strategies show their own advantages in computing Steiner point of fuzzy set. Hindawi Publishing Corporation 2014-04-09 /pmc/articles/PMC4000674/ /pubmed/25161396 http://dx.doi.org/10.1155/2014/593065 Text en Copyright © 2014 J. Liang and D. Wang. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liang, Jiuzhen
Wang, Dejiang
Implementation of Steiner Point of Fuzzy Set
title Implementation of Steiner Point of Fuzzy Set
title_full Implementation of Steiner Point of Fuzzy Set
title_fullStr Implementation of Steiner Point of Fuzzy Set
title_full_unstemmed Implementation of Steiner Point of Fuzzy Set
title_short Implementation of Steiner Point of Fuzzy Set
title_sort implementation of steiner point of fuzzy set
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000674/
https://www.ncbi.nlm.nih.gov/pubmed/25161396
http://dx.doi.org/10.1155/2014/593065
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