FULDEN CANTAŞ, İMRAN KURT ÖMÜRLÜ, MEVLÜT TÜRE

Comparison of Hierarchical and Non-hierarchical Fuzzy Models with Simulation and an Application on Hypertension Data Set

Objective: The aim of this study is to compare the classification performances of hierarchical and non-hierarchical fuzzy models built by using different membership functions. MaterialsandMethods:In this study, normally distributed data sets containing different number of independent variables (p=3 and p=6) were generated. Besides, the classification performances of hierarchical and non-hierarchical fuzzy models built by using the data set which contained body mass index, fasting blood glucose and triglyceride values of hypertensive (n=206) and control (n=113) people were compared. Results: It was found that there was a significant difference between the fuzzy models (p

Aşamalı ve Aşamalı Olmayan Bulanık Modellerin Simülasyon ve Hipertansiyon Veri Seti Üzerinde Bir Uygulama ile Karşılaştırılması

Amaç: Bu çalışmanın amacı farklı üyelik fonksiyonları ile oluşturulan aşamalı ve aşamalı olmayan bulanık modellerin sınıflandırma performanslarının karşılaştırılmasıdır. Gereç ve Yöntemler: Bu çalışmada farklı sayıda (p=3 ve p=6) bağımsız değişkenler içeren normal dağılıma uygunluk gösteren veri setleri türetildi. Ayrıca hipertansif (n=206) ve kontrol (n=113) bireylerine ilişkin beden kitle indeksi, açlık kan şekeri ve trigliserid değerlerini içeren veri seti kullanılarak oluşturulan aşamalı ve aşamalı olmayan bulanık modellerin sınıflandırma performansları karşılaştırıldı. Bulgular: Bulanık modeller arasında ileri düzeyde farklılık olduğu bulundu (p

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