Fuzzy logic trees are a new method of machine learning which uses the principles of fuzzy logic to create interpretable rules from noisy data sets. Discrimination rules are expressed as combinations of ordered weighted average operations. Trees tend to be smaller than with competing methods such as C4.5. The book is suitable for advanced readers with some knowledge of machine learning.