Classification of symbolic data using fuzzy set theory

Proposes a new algorithm to carry out classification of symbolic data using fuzzy set theory without any a priori assumption. The aim is to show how to apply fuzzy concepts to symbolic data. The new algorithm involves two stages. In the first stage, the number of classes present in the data is found...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Dinesh, M.S., Gowda, K.C., Ravi, T.V.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clustering algorithms Computer science Data analysis Data structures Decision making Educational institutions Fuzzy set theory Fuzzy sets Merging Uncertainty
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