Stabilization of a Fuzzy Controller Using an Interval Type-2 Fuzzy System Designed with the Bee Colony Optimization Algorithm

Amador-Angulo L., Castillo O.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.505, pp.713-721 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 505
  • Doi Number: 10.1007/978-3-031-09176-6_79
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.713-721
  • Keywords: Bee Colony Optimization, Fuzzy controller, Interval Type-2 Fuzzy Logic System, Benchmark problem, Stabilization
  • Istanbul Technical University Affiliated: No


A Bee Colony Optimization algorithm (BCO) for stabilization of a benchmark controller is presented. The main goal of BCO is finding the optimal design of the Membership Functions (MFs) in the Interval Type-2 Fuzzy Logic System (IT2FLS). The results demonstrated that the BCO algorithm shows good stabilization when a IT2FLS is evaluated in the Fuzzy Logic Controller (FLC). A comparative analysis is implemented to demonstrated and verified that BCO algorithm presents excellent results in comparison with the Type-1 Fuzzy Systems (T1FLS).