1: Modelling with Fuzzy Sets. - 1. 1. Fuzzy Models: Methodology Design Applications and Challenges. - 2: Relational Models. - 2. 1. Fundamentals of Fuzzy Relational Calculus. - 2. 2. Max-Min Relational Networks. - 2. 3. Relational Calculus in Designing Fuzzy Petri Networks. - 2. 4. Prediction in Relational Models. - 2. 5 Implementing A Fuzzy Relational Network For Phonetic Automatic Speech Recognition. - 2. 6 Fuzzy Ecological Models. - 3: Fuzzy Neural Networks. - 3. 1. Fuzzy Neural Networks: Capabilities. - 3. 2. Development of Fuzzy Neural Networks. - 3. 3. Designing Fuzzy Neural Networks Through Backpropagation. - 4: Rule-Based Modelling. - 4. 1. Foundations of Rule-Based Computations in Fuzzy Models. - 4. 2. Evolutionary Learning of Rules Competition and Cooperation. - 4. 3 Logical Optimization of Rule-Based Models. - 4. 4 Interpretation and Completion of Fuzzy Rules. - 4. 5 Hyperellipsoidal Clustering. - 4. 6. Fuzzy Rule-Based Models in Computer Vision. - 4. 7. Forecasting in Rule-Based Systems. Language: English