Polimer-Polimer Karışabilirliğinin Guguk Kuşu Arama Algoritmasına Dayalı Ağırlıklı Bulanık Sınıflandırma Sistemiyle Tahmini

Year 2021, Issue: 28, 519 - 525, 30.11.2021

Gözde Güldiken , Mehmet Levent Koç , Dilek İmren Koç

https://doi.org/10.31590/ejosat.1008608

Abstract

Bu çalışma, "ağırlıklı bulanık sınıflandırma sistemi" ile guguk kuşu aramasının birleşiminden oluşan yeni bir hibrit bulanık sınıflandırma sistemini çözelti fazındaki sodyum aljinat/poli(etilen glikol) karışımların karışabilirlik tahmini için önermekte ve söz konusu bulanık sistemin tahmin etme yeteneğini incelemektedir. Test sonuçları, önerilen bulanık sistemin, iki farklı bulanık sisteme (Mamdani-Tip ve Sugeno-Tip) ve etkileşim parametrelerini (α,  and β) kullanan geleneksel viskometrik analize kıyasla, daha yüksek doğru sınıflandırma oranı elde ettiğini göstermiştir.

Keywords

Bulanık Sistem, Guguk Kuşu Araması, Polimer, Karışabilirlik, Viskozimetri

Prediction of Polymer-Polymer Miscibility by Cuckoo Search Algorithm Based Fuzzy Classification System

Abstract

This study proposes a new hybrid fuzzy classification system which combines "weighting fuzzy classification system" with cuckoo search algorithm in order to predict the miscibility of sodium alginate/poly(ethylene glycol) blends in solution phase and examines its predictive capability. The test results show that the proposed fuzzy system gets a more accurate classification rate than the two types of fuzzy systems (Mamdani-Type and Sugeno-Type) as well as traditional viscometric analysis using interaction parameters (α,  and β).

Keywords

Cuckoo Search, Polymer, Miscibility, Viscometry, Fuzzy System

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