You might also like

More about Fuzzy Systems, Soft Computing, and Explainable AI

• Book details
• Synopsis
• Trending among others

You get 620 loyalty points

Book synopsis

This book is about techniques that can make AI more explainable.
While AI techniques have been spectacularly successful, they are not perfect: their answers are often wrong. To distinguish between great and flawed recommendations, it is desirable to make AI systems explain their recommendations.
This means translating numerical computations that AI systems perform into human-understandable natural-language form. It thus makes sense to use existing techniques e.g., fuzzy that connect numerical computations with natural language.
The use of fuzzy techniques to make AI explainable is the book's focus. This book contains both theoretical results and applications to aerospace engineering, agriculture, biology, digital twins, education, law enforcement, medicine, etc. It can be recommended to students and practitioners interested in the state-of-the-art fuzzy-related explainable AI, and to researchers focused on remaining challenges.

Book details

• Full title: Fuzzy Systems, Soft Computing, and Explainable AI
• Subtitle: DE
• Author: Barnabas Bede, Kelly Cohen, Vladik Kreinovich
• Series: Lecture Notes in Networks and Systems,
• Language: English
• Binding: Paperback
• Number of pages: 515
• EAN: 9783032354587
• ID: 53073416
• Publisher: Springer, Berlin
• Weight: 711 g
• Dimensions: 235 × 155 mm
• Date of publishing: 07. December 2026

---

---

---