Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis

Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis

Type-3 Fuzzy Logic in Time Series Prediction

Type-3 Fuzzy Logic in Time Series Prediction

Type-3 Fuzzy Logic in Intelligent Control

Type-2 Fuzzy Logic in Intelligent Control Applications

A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

Modelling, Simulation and Control of Non-linear Dynamical Systems

An Intelligent Approach Using Soft Computing and Fractal Theory

Mycorrhiza Optimization Algorithm

Mycorrhiza Optimization Algorithm

Stabilization of Infinite Dimensional Systems

Stabilization of Infinite Dimensional Systems

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers

Recent Advances in Interval Type-2 Fuzzy Systems

Soft Computing and Fractal Theory for Intelligent Manufacturing

New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

Type-2 Fuzzy Logic: Theory and Applications

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm

Interval Type-3 Fuzzy Systems: Theory and Design

Interval Type-3 Fuzzy Systems: Theory and Design

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Chemical Optimization Algorithm for Fuzzy Controller Design

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Type-2 Fuzzy Granular Models

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Neural Networks and Learning Algorithms in MATLAB

Modern Adaptive Fuzzy Control Systems

Modern Adaptive Fuzzy Control Systems

Neural Networks and Learning Algorithms in MATLAB