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    CLASSIFICATION OF STATISTICAL AREA UNITS (SCTU) ACCORDING TO FINANCIAL VARIABLES WITH FUZZY CLUSTERING ANALYSIS
    (Kırıkkale Üniversitesi, 2015) Erilli, Necati
    European Union has started works on keeping regional statistics to develop regional development politics as well as national development levels of member countries by dividing countries into sub regions. In line with these works, Turkey has been divided into three sub regions as Level 1 , Level 2 and Level 3 and regional statistics have begun to be collected and developed.Fuzzy Clustering approach comes out as a suitable method if the clusters are not seperated from each other prominently or if some of the members are indecisive about being a member of the cluster. Fuzzy clusters are functions that determine each unit between 0 and 1 defined as the membership of the unit. Units which are very similar take part in the same cluster according to high membership degree. The purpose here is to determine homogenous city groups that have the same characteristics in terms of these indicators.This study has used fuzzy c-means (FCM) method which is used frequently in fuzzy clustering analysis and has classified SCTU Level-2 and Level-3 regions through financial indicators. The results have been examined and interpreted in terms of their correlation with each other