- Sesiune Speciala 07 la The IEEE World Congress on Computational Intelligence (IEEE WCCI), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)
- Euro-China Conference on Intelligent Data Analysis and Applications
- FUZZ-IEEE-Special Session: Bio-inspired Fuzzy Logic Approaches – Interdisciplinary Emergent Technologies
- FUZZ-IEEE-Special Session: Medical Image Analysis based Computational Intelligence Techniques
- FUZZ-IEEE-Special Session: Adaptive fuzzy control for nonlinear systems
FUZZ-IEEE-Special Session:
Bio-inspired Fuzzy Logic Approaches – Interdisciplinary Emergent Technologies
Special Session Organizers:
Valentina E. Balas, ROMANIA
Camelia Pintea
Ahmad T. Azar
Mario Pavone
Rabie A. Ramadan
Nicolaie Popescu-Bodorin
Aim and Scope
In the nature there are many examples that could help humanity to develop new projects, to improve and to solve some real life complex problems. The Bio-inspired Fuzzy Systems have the ability to include both natural computing and real life coefficients of uncertainty to keep in balance the solutions of the large-scale static and dynamic problems. The strategies of natural organisms (as ants, bees, nano-bots, swarms, flocks etc.) include adaptation and learning based on environmental changes, incomplete input information and the presence of noise. That is why Artificial Intelligence uses bio-inspired techniques, like ant colonies, artificial immune systems, swarm intelligence, neural networks, evolutionary computation, and not at last fuzzy logic to solve difficult problems.
Scope and Topics
The aim of this special session is provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of Bio-inspired Fuzzy Logic systems in Pattern Recognition, Bioinformatics and computational biology, Healthcare, Industry, Microelectronics, Transportation, Green Logistics, Social Network, Web services, Cloud Computing and other domains.
The topics of interest include, but are not limited to:
- Fuzzy logic approaches in Evolutionary Computation, Swarm Intelligence, Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Artificial Immune Systems andother natural computing systems
- Uncertainty theory, programming, calculus and processes
- Adaptive fuzzy pattern recognition
- Learning based on Fuzzy Rule-Based Systems
- Fuzzy-Neural and Hybrid schemes in adaptive estimation and control
- Neuro-fuzzy technologies for medical and bioengineering applications
- Bio-inspired fuzzy logic controllers for power system stabilizers
- Agent based modeling and fuzzy logic
- Multiobjective Bio-inspired Fuzzy Systems
- Bio-inspired Fuzzy Clustering, Image Classification
- Computational complexity
- Microelectronics for Fuzzy and Bio-inspired Systems
- Bio-inspired fuzzy models applied to cloud computing, transportation problems, systems automation, supply chain management, energy management systems, medicine, wireless networks, in robotics (bots / nano-bots), in social network and web services, complex data analysis: preprocessing and processing and other real life static and dynamic problems.