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A Reminder on Fuzzy Logic

  • Dimiter Driankov
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 61)

Abstract

Fuzzy logic was primarily designed to represent and reason with knowledge expressed in a linguistic or verbal form. However, when using a languageoriented approach for representing knowledge about a certain system of interest, one is bound to encounter a number of non-trivial problems. Suppose, for example [10], that you are asked how strongly you agree that a given distance, [0m, 40m] which an indoor robot has to travel is a large distance. One way to answer this question is to say that if x ≥ d then you agree it is a large distance and if x < d then you disagree. Thus, if you place a mark on an agree-disagree scale, it might be distributed uniformly over the right half of the scale whenever x ≥ d and uniformly over the left half if x < d.

Keywords

Membership Function Fuzzy Logic Fuzzy Rule Fuzzy Controller Linguistic Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Dimiter Driankov

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