{ "item_title" : "Fuzzy Systems, Soft Computing, and Explainable AI", "item_author" : [" Barnabas Bede", "Kelly Cohen", "Vladik Kreinovich "], "item_description" : "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. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/235/458/3032354587_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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