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FUZZY CLASSIFICATION OF SYMBOLIC OBJECTS

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Machowska-Szewczyk M.
Metody Ilościowe w Badaniach Ekonomicznych
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2013
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vol. 14
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issue 2
51-60
EN
The aim of this work is to present fuzzy clustering algorithm for objects, which can be described by mixed feature-type symbolic data and fuzzy data. The main idea is the transformation of mixed feature-type symbolic data and fuzzy data into histogram-valued symbolic data. Fuzzy classification is very useful in case, when classes are difficult separated, mixed objects can be classified into class with the fixed degree of membership.
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