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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Hybrid Intelligent Systems : Analysis and Design

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics : Theory and Applications

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

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

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

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Nature-Inspired Design of Hybrid Intelligent Systems

Type-3 Fuzzy Logic in Time Series Prediction

Fuzzy logic hybrid extensions of neural and optimization algorithms : theory and applications

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Soft computing for hybrid intelligent systems

Chemical optimization algorithm for fuzzy controller design

Novel developments in uncertainty representation and processing : advances in intuitionistic fuzzy sets and generalized nets - proceedings of the 14th International Conference on Intuitionistic Fuzz

Recent advances on hybrid approaches for designing intelligent systems

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