Generalized Net Model of Balanced Iterative Reducing and Clustering Using Hierarchies (Birch) with Intuitionistic Fuzzy Evaluations


Bureva V., Petrov P., Popov S.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.673-680 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_78
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.673-680
  • Anahtar Kelimeler: Big data analytics, Data science, Generalized Nets, Intuitionistic Fuzzy Sets
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) is a method for agglomerative cluster analysis. A Generalized net (GN) model of the BIRCH is constructed. The clustering procedure is estimated using intuitionistic fuzzy evaluations. The process monitoring is explained using the constructed GN model and calculated IFEs. The GN model of BIRCH with IFEs optimizes and estimates the standard clustering algorithm. The proposed method is implemented using Python programming language.