This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques.
This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.
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语言 英语 ● 格式 PDF ● 网页 506 ● ISBN 9783030820992 ● 文件大小 43.1 MB ● 编辑 Julia Rayz & Victor Raskin ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2021 ● 下载 24 个月 ● 货币 EUR ● ID 7899264 ● 复制保护 社会DRM
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