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| Cooperative tabletop working for humans and humanoid robots: Group interaction with an avatar. | 4 | 0.41 | 2013 |
| Special issue on “Genetic Fuzzy Systems: Recent Developments and Future Directions” | 13 | 0.57 | 2009 |
| Introduction: Genetic Fuzzy Systems | 5 | 0.49 | 2007 |
| Fuzzy-XCS: A Michigan Genetic Fuzzy System | 44 | 1.38 | 2007 |
| Fuzzy Classifier System Architectures For Mobile Robotics: An Experimental Comparison | 2 | 0.41 | 2007 |
| Hierarchical fuzzy rule based systems using an information theoretic approach | 0 | 0.34 | 2006 |
| Prediction Of Failure In Pin-Joints Using Hybrid Adaptive Neuro-Fuzzy Approach | 1 | 0.35 | 2006 |
| First Results from Further Experimental Comparisons between Pittsburgh and Michigan Fuzzy Classifier Systems for Mobile Robotics | 0 | 0.34 | 2005 |
| Application Of Multi-Agent Technology To Fault Diagnosis Of Power Distribution Systems | 3 | 0.44 | 2005 |
| Current And Future Trends In Feature Selection And Extraction For Classification Problems | 7 | 0.49 | 2005 |
| Oneiric Processing Utilising the Anticipatory Classifier System | 1 | 0.35 | 2004 |
| Current issues and future directions in evolutionary fuzzy systems research | 0 | 0.34 | 2003 |
| Fuzzy logic and the Pittsburgh classifier system for mobile robot control | 1 | 0.39 | 2003 |
| A hierarchical fuzzy rule-based learning system based on an information theoretic | 0 | 0.34 | 2003 |
| First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics | 4 | 0.36 | 2002 |
| "Michigan" and "Pittsburgh" Fuzzy Classifier Systems for Learning Mobile Robot Control Rules: An Experimental Comparison | 1 | 0.35 | 2001 |
| A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming | 6 | 0.89 | 2001 |
| Solution of Inverse Problems in Laser Spectroscopy of Water Media with the Help of Neural Networks | 0 | 0.34 | 2001 |
| X-FCS: a fuzzy classifier system using accuracy based fitness - first results | 4 | 0.53 | 2001 |
| Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation Approaches | 4 | 0.45 | 2000 |
| Evolution and learning in neural networks: dynamic correlation, relearning and thresholding | 0 | 0.34 | 2000 |
| A Note on Learning and Evolution in Neural Networks | 0 | 0.34 | 2000 |
| Connection Admission Control in ATM Networks Using Neural Networks: Research Directions and Issues in Commercial Exploitation | 0 | 0.34 | 1999 |
| Evolution And Learning In Neural Networks - An Experimental Study | 0 | 0.34 | 1998 |
| Artificial Evolution Of Fuzzy Rule Bases Which Represent Time: A Temporal Fuzzy Classifier System | 0 | 0.34 | 1998 |
| Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic Algorithm | 18 | 1.15 | 1996 |
| Evolving fuzzy rule based controllers using genetic algorithms | 111 | 9.50 | 1996 |
| Tackling the "Curse of Dimensionality" of Radial Basis Functional Neural Networks Using a Genetic Algorithm | 3 | 0.45 | 1996 |
| Adaptive Distributed Routing Using Evolutionary Fuzzy Control | 3 | 0.82 | 1995 |
| Learning Subjective "Cognitive Maps" in the Presence of Sensory-Motor Errors | 1 | 0.37 | 1995 |
| Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication Networks | 0 | 0.34 | 1995 |
| A Comparison Between Two Architectures for Searching and Learning in Maze Problems | 2 | 0.34 | 1994 |
| A Delayed-Action Classifier System for Learning in Temporal Environments | 3 | 0.42 | 1994 |
| A Fuzzy Classifier System Using the Pittsburgh Approach | 13 | 0.97 | 1994 |
| Learning Anticipatory Behaviour Using a Delayed Action Classifier System | 2 | 0.34 | 1994 |
