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, Turkey, 19 - 21 July 2022, vol.504, pp.673-680 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_78
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.673-680
  • Keywords: Big data analytics, Data science, Generalized Nets, Intuitionistic Fuzzy Sets
  • Yıldız Technical University Affiliated: No

Abstract

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.