Chapter 1: what a fuzzy set is and what it is not?.- Chapter 2: Fuzzy random variables á la Kruse & Meyer and á la Puri & Ralescu: key differences and coincidences.- Chapter 3: Statistical Inference for Incomplete Ranking Data: A Comparison of two Likelihood-Based Estimators.- Chapter 4: Interval Type–2 Defuzzification Using Uncertainty Weights.- Chapter 5: Exploring time-resolved data for patterns and validating single clusters.- Chapter 6: Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn’s Index.- Chapter 7: A shared encoder DNN for integrated recognition and segmentation of traffic scenes.- Chapter 8: Fuzzy ontology support for knowledge mobilisation