Abstract
Classical logic and mathematics assume that we can assign one of the two values, true or false, to each logical proposition or statement. If a suitable formal model for a certain problem or task can be specified, conventional mathematics provides powerful tools which help us to solve the problem. When we describe such a formal model, we use a terminology which has much more stringent rules than natural language. This specification often requires more work and effort, but by using it we can avoid misinterpretations. Furthermore, based on such models we can prove or reject hypotheses or derive unknown correlations.
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© 2006 Springer
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Michels, K., Klawonn, F., Kruse, R., Nürnberger, A. (2006). Fundamentals of Fuzzy Systems. In: Fuzzy Control. Studies in Fuzziness and Soft Computing, vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31766-X_1
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DOI: https://doi.org/10.1007/3-540-31766-X_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31765-4
Online ISBN: 978-3-540-31766-1
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