Title:
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Clustering of vaguely defined objects (English) |
Author:
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Žák, Libor |
Language:
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English |
Journal:
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Archivum Mathematicum |
ISSN:
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0044-8753 (print) |
ISSN:
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1212-5059 (online) |
Volume:
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39 |
Issue:
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1 |
Year:
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2003 |
Pages:
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37-50 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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This paper is concerned with the clustering of objects whose properties cannot be described by exact data. These can only be described by fuzzy sets or by linguistic values of previously defined linguistic variables. To cluster these objects we use a generalization of classic clustering methods in which instead of similarity (dissimilarity) of objects, used fuzzy similarity (fuzzy dissimilarity) to define the clustering of fuzzy objects. (English) |
Keyword:
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fuzzy sets |
Keyword:
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extension principle |
Keyword:
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clustering methods |
Keyword:
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fuzzy clustering |
MSC:
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26E50 |
MSC:
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62H30 |
MSC:
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68T10 |
idZBL:
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Zbl 1122.62319 |
idMR:
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MR1982210 |
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Date available:
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2008-06-06T22:41:11Z |
Last updated:
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2012-05-10 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/107852 |
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Reference:
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Reference:
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Reference:
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Reference:
|
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Reference:
|
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Reference:
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
|
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Reference:
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[14] Žák L.: Clustering and Fuzzy Objects.Proc. Fuzzy logika - fuzzy logika, neuronové sítě a expertní systémy, Hrubá Skála (1999), 51–58, (in Czech). |
Reference:
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[15] Žák L.: Clustering of Fuzzy Objects 2.. Proc. Mendel 2000, $6^{th}$ International Conference on Soft Computing, Brno (2000), 310–317, ISBN 80-214-1131-7. |
Reference:
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Reference:
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[17] Žák L.: Generalization Fuzzy Clustering for Fuzzy Objects.Proc. Inteligentní systémy pro praxi, Luhačovice (2000), 59–68, ISBN 80-238-6140-9 (in Czech). |
Reference:
|
[18] Žák L.: Clustering of vaguely defined objects.PhD Thesis, Technical University, Brno, 2002, ISSN 1213-4198 (in Czech). Zbl 1122.62319, MR 1982210 |
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