TY  - CHAP
ID  - belohlavek_fuzzy_2011
T1  - Fuzzy Logic in Computer Science
A1  - Belohlavek, Radim
A1  - Kruse, Rudolf
A1  - Moewes, Christian
ED  - Blum, Edward K.
ED  - Aho, Alfred V.
TI  - Computer Science: The Hardware, Software and Heart of It
Y1  - 2011
SP  - 385
EP  - 419
U2  - Chapter: 16
PB  - Springer Science Business Media
AD  - New York, NYC, USA
SN  - 978-1-4614-1167-3
UR  - http://www.springer.com/computer/swe/book/978-1-4614-1167-3
M2  - doi: 10.1007/978-1-4614-1168-0_16
KW  - Fuzzy Control
KW  - fuzzy logic
KW  - Fuzzy Rules
KW  - Fuzzy Systems
N2  - Many researchers and practitioners in the field of artificial intelligence (and intelligent systems in particular) want to make computers smart. Unlike computers, human beings have great capacities to deal with ill-defined concepts, e.g., natural language. Even today, one wonders whether computers will ever be able to process vague information meaningfully. Fuzzy logic is such an approach to tackle this problem. In this chapter we therefore mainly introduce basic ideas and concepts of fuzzy logic. We discuss selected applications of fuzzy logic relevant to computer science and provide a list of references for further reading. The primary audience of the chapter are computer scientists and engineers.
ER  -