Fuzzy regions: interpretations of surface area and distance
Jörg Verstraete (2009)
Control and Cybernetics
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Jörg Verstraete (2009)
Control and Cybernetics
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Libor Žák (2003)
Archivum Mathematicum
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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.
Vladimir Janiš, Magdaléna Renčová, Branimir Šešelja, Andreja Tepavčević (2010)
Kybernetika
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The resemblance relation is used to reflect some real life situations for which a fuzzy equivalence is not suitable. We study the properties of cuts for such relations. In the case of a resemblance on a real line we show that it determines a special family of crisp functions closely connected to its cut relations. Conversely, we present conditions which should be satisfied by a collection of real functions in in order that this collection determines a resemblance relation. ...
Dong Qiu, Weiquan Zhang (2013)
Kybernetika
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In this paper, we prove that for a given positive continuous t-norm there is a fuzzy metric space in the sense of George and Veeramani, for which the given t-norm is the strongest one. For the opposite problem, we obtain that there is a fuzzy metric space for which there is no strongest t-norm. As an application of the main results, it is shown that there are infinite non-isometric fuzzy metrics on an infinite set.