Ocena klas w rozmytej klasyfikacji obiektów symbolicznych
Evaluation of clusters obtained by fuzzy classification methods for symbolic objects

Summary/Abstract: The aim of this work is to present the evaluation proposition of classes of fuzzy classification algorithm. For this purpose overall heterogeneity indexes of symbolic data, intra-cluster heterogeneity and between clusters heterogeneity as well as the importance of every variable in the formation of a given cluster in fuzzy classification were discussed. The work is a continuation of previous studies on the modification of Carvalho and Souza’ algorithm [2010] that allows using the algorithm to create a fuzzy classification of symbolic objects.

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