Fuzzy Logic Author: Michael Berthold, Department of Computer and Information Science, University of Konstanz
Description:
The tutorial will introduce the basics of fuzzy logic for data analysis. Fuzzy Logic can be used to model and deal with imprecise information, such as inexact measurements or available expert knowledge in the form of verbal descriptions. We will first introduce the concepts of fuzzy sets, degrees of membership and fuzzy set operators. After discussions on fuzzy numbers and arithmetic operations using them, the focus will shift to fuzzy rules and how such systems of rules can be derived from available data.
Subject identity isn’t always crisp. Fuzzy logic offers a way to deal with those situations.