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Visualization of Fuzzy Classifiers
Type of publication: Article
Citation: Rehm_etal_2007_FuzzyClassifiers
Journal: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)
Volume: 15
Number: 5
Year: 2007
Month: October
Pages: 615--624
DOI: 10.1142/s021848850700490x
Abstract: 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.
Keywords: Air Traffic Management, Fuzzy classifiers, Fuzzy Rules, multidimensional scaling , Visualization
Authors Rehm, Frank
Klawonn, Frank
Kruse, Rudolf
Added by: [ADM]
Total mark: 0
Attachments
  • rehm2007uncertainty.pdf
Notes
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