Barnes & Noble Explainable AI and Other Applications of Fuzzy Techniques: Proceedings the 2021 Annual Conference North American Information Processing Society, NAFIPS at Hamilton Place in Chattanooga, TN
Explainable AI and Other Applications of Fuzzy Techniques: Proceedings the 2021 Annual Conference North American Information Processing Society, NAFIPS
Explainable AI and Other Applications of Fuzzy Techniques: Proceedings the 2021 Annual Conference North American Information Processing Society, NAFIPS in Chattanooga, TN
Explainable AI and Other Applications of Fuzzy Techniques: Proceedings the 2021 Annual Conference North American Information Processing Society, NAFIPS in Chattanooga, TN
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 naturallanguage 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 naturallanguage 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 stateoftheart of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.
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 naturallanguage 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 naturallanguage 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 stateoftheart 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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