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Fuzzy Logic in Computer Science
| Type of publication: | Inbook |
| Citation: | belohlavek_fuzzy_2011 |
| Booktitle: | Computer Science: The Hardware, Software and Heart of It |
| Chapter: | 16 |
| Year: | 2011 |
| Month: | December |
| Pages: | 385--419 |
| Publisher: | Springer Science+Business Media |
| Address: | New York, NYC, USA |
| ISBN: | 978-1-4614-1167-3 |
| URL: | http://www.springer.com/comput... |
| DOI: | 10.1007/978-1-4614-1168-0_16 |
| Abstract: | 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. |
| Keywords: | Fuzzy Control, fuzzy logic, Fuzzy Rules, Fuzzy Systems |
| Authors | |
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| Added by: | [CM] |
| Total mark: | 0 |
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