FUZZ-IEEE-23 Bio-inspired Fuzzy Logic Approaches - Interdisciplinary Emergent Technologies

Organized by Valentina E. Balas, Camelia Pintea, Ahmad Taher Azar, Mario Pavone, Rabie A. Ramadan and Nicolaie Popescu-Bodorin

In 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 and other 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, 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

WEBSITE: http://iet-cis-ieee.weebly.com/bio-fuzzy-wcci.html

2 016 IEEE International Conference on Fuzzy Systems- FUZZ-IEEE 2016: Paper Submission
Important deadlines:
- January 15, 2016 - Paper submission deadline
- March 15, 2016 - Author notification of acceptance or rejection
- April 15, 2016 - Deadline for receipt of final manuscript
The accepted papers to this special session will be published in the conference proceedings of FUZZ-IEEE
published by the IEEE.