Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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

Authors
Leticia Amador-Angulo, Oscar Castillo
Corresponding Author
Leticia Amador-Angulo
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.110How to use a DOI?
Keywords
Adjust dynamic, bee colony optimization, fuzzy logic, uncertainty, fuzzy controller, bees.
Abstract
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 membership functions of the fuzzy controller for the benchmark problem, known as the temperature controller.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Leticia Amador-Angulo
AU  - Oscar Castillo
PY  - 2015/06
DA  - 2015/06
TI  - Statistical Analysis of Type-1 and Interval Type-2 Fuzzy Logic in dynamic parameter adaptation of the BCO
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 776
EP  - 783
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.110
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.110
ID  - Amador-Angulo2015/06
ER  -