Fuzzy Logic in Artificial Intelligence

The role of fuzzy logic and soft computing in the conception and design of intelligent systems.- A contextual approach for AI systems development.- Typicality of concept instances: a semiotic way for its evaluation.- Non-conventional conjunctions and implications in fuzzy logic.- A comparative fuzzy modal logic.- Combining neural networks and fuzzy controllers.- A reinforcement learning algorithm based on ‘safety’.- GAITS: Fuzzy sets-based algorithms for computing strategies using genetic algorithms.- Neural networks and genetic algorithm approaches to auto-design of fuzzy systems.- Symbolic and numeric data management in a geographical information system: A fuzzy neural network approach.- Approximate reasoning in the modeling of consensus in group decisions.- Fuzzy logic-based processing of expert rules used for checking the creditability of small business firms.- Fuzzy control in real-time for vision guided autonomous mobile robots.- Robot Motion Coordination by Fuzzy control.- Fuzzy control schemes for active magnetic bearings.- An adaptive fuzzy control module for automatic dialysis.- A combination scheme of artificial intelligence and fuzzy pattern recognition in medical diagnosis.- Fuzzy concepts for predicting the behaviour of other drivers on a highway.- Design of a fuzzy car distance controller.- Karl Menger fuzzy logic and artificial intelligence — An experiment in reflection.- Workshop for doctoral students in fuzzy-based systems.- Industrial and commercial applications of fuzzy logic.- Fuzzy scheduling systems.