Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
O Castillo, P Melin - Information Sciences, 2012 - Elsevier
A review of the optimization methods used in the design of type-2 fuzzy systems, which are
relatively novel models of imprecision, has been considered in this work. The fundamental …
relatively novel models of imprecision, has been considered in this work. The fundamental …
Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances
HH Tang, NS Ahmad - Systems Science & Control Engineering, 2024 - Taylor & Francis
This paper presents a comprehensive review of the latest developments in fuzzy logic (FL)
applications across critical domains which include energy harvesting (EH), ambient …
applications across critical domains which include energy harvesting (EH), ambient …
Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control
L Cervantes, O Castillo - Information Sciences, 2015 - Elsevier
This paper presents a proposed new approach for complex control combining several
simpler individual fuzzy controllers. This method is particularly useful when the case of study …
simpler individual fuzzy controllers. This method is particularly useful when the case of study …
Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms
We describe a tracking controller for the dynamic model of a unicycle mobile robot by
integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and …
integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and …
Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems
D Wu, M Nie - 2011 IEEE international conference on fuzzy …, 2011 - ieeexplore.ieee.org
Type-reduction algorithms are very important for type-2 fuzzy sets and systems. The earliest
one, and also the most popular one, is the Karnik-Mendel Algorithm, which is iterative and …
one, and also the most popular one, is the Karnik-Mendel Algorithm, which is iterative and …
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
In real life, information about the world is uncertain and imprecise. The cause of this
uncertainty is due to: deficiencies on given information, the fuzzy nature of our perception of …
uncertainty is due to: deficiencies on given information, the fuzzy nature of our perception of …
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO
In this paper the optimization of type-2 fuzzy inference systems using genetic algorithms
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …
Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction
In this paper a new backpropagation learning method enhanced with type-2 fuzzy logic is
presented. Simulation results and a comparative study among monolithic neural networks …
presented. Simulation results and a comparative study among monolithic neural networks …
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
This paper proposes a new approach for defuzzification of interval type-2 fuzzy sets. The
collapsing method converts an interval type-2 fuzzy set into a type-1 representative …
collapsing method converts an interval type-2 fuzzy set into a type-1 representative …
Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation
Nowadays, soft computing has been of great help in solving real-world problems and
satisfying the needs in our everyday life. We require more than ever the development and …
satisfying the needs in our everyday life. We require more than ever the development and …