Items related to Fuzzy Information Processing 2023: 751 (Lecture Notes...

Fuzzy Information Processing 2023: 751 (Lecture Notes in Networks and Systems, 751) - Softcover

 
9783031467776: Fuzzy Information Processing 2023: 751 (Lecture Notes in Networks and Systems, 751)
Softcover
ISBN 10: 3031467779 ISBN 13: 9783031467776
Publisher: Springer, 2023

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2023
Language
English
ISBN 10 
3031467779
ISBN 13 
9783031467776
Binding
Paperback
Edition number
1
Number of pages
368
Editor
Cohen Kelly, Ernest Nicholas, Bede Barnabas, Kreinovich Vladik