InhaltsangabePart 1: Modelling with Fuzzy Sets. 1.1. Fuzzy Models: Methodology, Design, Applications, and Challenges; W. Pedrycz. Part 2: Relational Models. 2.1. Fundamentals of Fuzzy Relational Calculus; S. Gottwald. 2.2. Max-Min Relational Networks; A. Blanco, et al. 2.3. Relational Calculus in Designing Fuzzy Petri Networks; H. Scarpelli, F. Gomide. 2.4. Prediction in Relational Models; J. Valente de Oliveira. 2.5. Implementing a Fuzzy Relational Network for Phonetic Automatic Speech Recognition; C.A. Reyes-Garcia, W. Bandler. 2.6. Fuzzy Ecological Models; S. Marsili Libelli, P. Cianchi. Part 3: Fuzzy Neural Networks. 3.1. Fuzzy Neural Networks: Capabilities; J. Buckley, E. Eslani. 3.2. Development of Fuzzy Neural Networks; H. Ishibuchi. 3.3. Designing Fuzzy Neural Networks Through Backpropagation; D. Nauck, R. Kruse. Part 4: Rule-Based Modelling. 4.1. Foundations of Rule-based Computations in Fuzzy Models; A. Kandel, et al. 4.2. Evolutionary Learning of Rules: Competition and Cooperation; A. Bonarini. 4.3. Logical Optimization of Rule-based Models; R. Rovatti. 4.4. Interpretation and Completion of Fuzzy Rules; T. Sudkamp, R.J. Hammel II. 4.5 Hyperellipsoidal Clustering; Y. Nakamori, M. Ryoke. 4.6. Fuzzy Rule-based Models in Computer Vision; J.M. Keller, et al. 4.7. Forecasting in Rule-based Systems; A. Zardecki. Subject Index.