Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Soft Computing Applications in Optimization, Control, and Recognition

Foundations of fuzzy logic and soft computing

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

New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

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

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

Nature-Inspired Design of Hybrid Intelligent Systems

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension