TY  - JOUR
ID  - Rehm_etal_2007_FuzzyClassifiers
T1  - Visualization of Fuzzy Classifiers
A1  - Rehm, Frank
A1  - Klawonn, Frank
A1  - Kruse, Rudolf
JA  - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)
Y1  - 2007
VL  - 15
IS  - 5
SP  - 615
EP  - 624
M2  - doi: 10.1142/s021848850700490x
KW  - Air Traffic Management
KW  - Fuzzy classifiers
KW  - Fuzzy Rules
KW  - multidimensional scaling
KW  - Visualization
N2  - This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation to the classified data. The degree of membership to influential rules can be visualized for an entire data set. This enables the observer to detect conflicting or error-prone rules as well as misclassified feature vectors. Results are shown on a benchmark data set and on a weather data set that is used to predict flight durations on a major European airport.
ER  -