This book describes state-of-the-art of fuzzy approach to eXplainable AI (XAI). The book contains both general methodologies and applications. In some applications, fuzzy techniques help to take the human factors into account in computer security (detection of fake news and of phishing), in economics (farmer's trust in specialist recommendations, tourism forecasting), and in education and training (training soccer players, student success, and university efficiency).

Other applications transform imprecise expert knowledge into precise decision strategies in aerospace engineering (air traffic control, in-space robot manipulators), in civil engineering (detecting leaks in water distribution systems, masonry strength assessment, vehicle routing), in computer science (integrating LLMs), and in electrical engineering (fault detection in electric networks).

The book can be recommended to students and researchers interested in learning latest fuzzy technique and to practitioners wanting to learn new XAI tools.