Fuzzy Information Processing 2023

Kelly Cohen

ISBN 10: 3031467779 / ISBN 13: 9783031467776

Editore: Springer Nature Switzerland, Springer Nature Switzerland Nov 2023, 2023

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book is an overview of latest successes and applications of fuzzy techniques-techniques that use expert knowledge formulated by natural-language words like 'small'. Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior.In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges. 368 pp. Englisch.

Codice articolo 9783031467776

Dati bibliografici

• Titolo: Fuzzy Information Processing 2023
• Editore: Springer Nature Switzerland, Springer Nature Switzerland Nov 2023
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031467779
• ISBN 13: 9783031467776
• Rilegatura: Taschenbuch
• Condizione: Neu

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Riassunto

This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior.

 In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.