TY  - GEN
AB  - 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.
AU  - Cohen, Kelly,
AU  - Ernest, Nicholas,
AU  - Bede, Barnabas,
AU  - Kreinovich, Vladik,
CN  - QA248
DO  - 10.1007/978-3-031-46778-3
DO  - doi
ID  - 1484506
KW  - Systèmes flous
KW  - Fuzzy systems
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46778-3
N1  - Includes author index.
N2  - 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.
SN  - 9783031467783
SN  - 3031467787
T1  - Fuzzy information processing 2023 /
TI  - Fuzzy information processing 2023 /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46778-3
VL  - 751
ER  -