Statistical Analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation of the BCO

Leticia Amador-Angulo, Oscar Castillo
2015 Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology   unpublished
A statistical analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation in the Bee Colony Optimization algorithm (BCO) is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The objective of the work is based on the main reasons for the analysis of the approach with Interval Type-2 Fuzzy Logic to find the best parameters of the Beta and Alpha in BCO. We implemented the BCO specifically for tuning
more » ... y for tuning membership functions of the fuzzy controller for the benchmark problem, known as the temperature controller.
doi:10.2991/ifsa-eusflat-15.2015.110 fatcat:q3nczh7b4jfz7ba5neqzd4uwj4