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

Yıl 2021, Sayı: 28, 519 - 525, 30.11.2021
https://doi.org/10.31590/ejosat.1008608

Öz

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.

Kaynakça

  • Ding, X., Xu, Z., Cheung, N.J., Liu, X., Parameter estimation of Takagi-Sugeno fuzzy system using heterogeneous cuckoo search algoritm, Neurocomputing 151, 1332-1342, 2015.
  • Ebenezer, N.G.R., Ramabalan, S., Navaneethasanthakumar, S., Advanced design optimization on straight bevel gears pair based on nature inspired algorithms, SN Applied Sciences 1:1155, 2019.
  • Hodashinsky, I.A., Minina, D. Yu., and Sarin, K.S., Identification of the parameters of fuzzy approximators and classifiers based on the cuckoo search, Optoelectronics, Instrumentation and Data Processing, 51:3, 234-240, 2015.
  • Koç, D.İ, Koç, M.L., Fuzzy viscometric analysis of polymer-polymer miscibility based on fuzzy regression, Chemometrics and Intelligent Laboratory Systems 157, 58-66, 2016.
  • Koç, D.İ, Özel Ergün, N., Koç, M.L. Prediction of miscibility of sodium alginate/poly (ethyleneglycol) blends by fuzzy systems, Journal of the Faculty of Engineering and Architecture of Gazi University 34:2 635-646, 2019.
  • Kumar, M., Rawat, T.K., Optimal fractional delay-IIR filter design using cuckoo search algorithm. ISA Transactions 59:39-54, 2015.
  • Mamdani, E.H., Application of fuzzy logic to approximate reasoning using linguistic systems, Fuzzy Sets and Systems 26, 1182-1191, 1977.
  • Nakashima, T.,Schaefen, G., Yokota, Y., Ishibuchi, H., A weighted fuzzy classifier and its application to image processing tasks, Fuzzy Sets and Systems 158, 284-294, 2007.
  • Nawi, N.M., Khan, A., Rehman, M.Z., A new Levenberg Marquardt based backpropagation algorithm trained with cuckoo search, Procedia Technology 11, 18-23, 2013.
  • Ozkaya, U., Seyfi, L. A novel fuzzy logic model for intelligent traffic systems. Electronics World, 122(1960), 36-39, 2016.
  • Samir, K., Brahim, B., Capozucca, R., Wahab, M.A., Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm, Composite Structures, 187, 344-353, 2018.
  • Takagi, T., Sugeno, M., Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man and Cybernetics 15(1), 116-132, 1985.
  • Yang, X.S., Deb, S., Multi objective cuckoo search for design optimization, Computers  Operations Research 40, 1616-1624, 2013.
  • Yang, X.S., Deb, S., Cuckoo search: Recent advances and applications, Neural Computing and Applications 24, 169-174, 2014.

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

Yıl 2021, Sayı: 28, 519 - 525, 30.11.2021
https://doi.org/10.31590/ejosat.1008608

Öz

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).

Kaynakça

  • Ding, X., Xu, Z., Cheung, N.J., Liu, X., Parameter estimation of Takagi-Sugeno fuzzy system using heterogeneous cuckoo search algoritm, Neurocomputing 151, 1332-1342, 2015.
  • Ebenezer, N.G.R., Ramabalan, S., Navaneethasanthakumar, S., Advanced design optimization on straight bevel gears pair based on nature inspired algorithms, SN Applied Sciences 1:1155, 2019.
  • Hodashinsky, I.A., Minina, D. Yu., and Sarin, K.S., Identification of the parameters of fuzzy approximators and classifiers based on the cuckoo search, Optoelectronics, Instrumentation and Data Processing, 51:3, 234-240, 2015.
  • Koç, D.İ, Koç, M.L., Fuzzy viscometric analysis of polymer-polymer miscibility based on fuzzy regression, Chemometrics and Intelligent Laboratory Systems 157, 58-66, 2016.
  • Koç, D.İ, Özel Ergün, N., Koç, M.L. Prediction of miscibility of sodium alginate/poly (ethyleneglycol) blends by fuzzy systems, Journal of the Faculty of Engineering and Architecture of Gazi University 34:2 635-646, 2019.
  • Kumar, M., Rawat, T.K., Optimal fractional delay-IIR filter design using cuckoo search algorithm. ISA Transactions 59:39-54, 2015.
  • Mamdani, E.H., Application of fuzzy logic to approximate reasoning using linguistic systems, Fuzzy Sets and Systems 26, 1182-1191, 1977.
  • Nakashima, T.,Schaefen, G., Yokota, Y., Ishibuchi, H., A weighted fuzzy classifier and its application to image processing tasks, Fuzzy Sets and Systems 158, 284-294, 2007.
  • Nawi, N.M., Khan, A., Rehman, M.Z., A new Levenberg Marquardt based backpropagation algorithm trained with cuckoo search, Procedia Technology 11, 18-23, 2013.
  • Ozkaya, U., Seyfi, L. A novel fuzzy logic model for intelligent traffic systems. Electronics World, 122(1960), 36-39, 2016.
  • Samir, K., Brahim, B., Capozucca, R., Wahab, M.A., Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm, Composite Structures, 187, 344-353, 2018.
  • Takagi, T., Sugeno, M., Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man and Cybernetics 15(1), 116-132, 1985.
  • Yang, X.S., Deb, S., Multi objective cuckoo search for design optimization, Computers  Operations Research 40, 1616-1624, 2013.
  • Yang, X.S., Deb, S., Cuckoo search: Recent advances and applications, Neural Computing and Applications 24, 169-174, 2014.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Gözde Güldiken 0000-0002-4510-5303

Mehmet Levent Koç 0000-0003-4993-6152

Dilek İmren Koç 0000-0003-3657-3794

Yayımlanma Tarihi 30 Kasım 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 28

Kaynak Göster

APA Güldiken, G., Koç, M. L., & İmren Koç, D. (2021). Polimer-Polimer Karışabilirliğinin Guguk Kuşu Arama Algoritmasına Dayalı Ağırlıklı Bulanık Sınıflandırma Sistemiyle Tahmini. Avrupa Bilim Ve Teknoloji Dergisi(28), 519-525. https://doi.org/10.31590/ejosat.1008608