Description: 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.

Please Wait