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Visualization of Fuzzy Classifiers

Rehm, Frank and Klawonn, Frank and Kruse, Rudolf (2006) Visualization of Fuzzy Classifiers. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems (IJUFKS), 15 (5), pp. 615-624. World Scientific Publishing Co. Pte. Ltd..

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Official URL: http://ijufks.lip6.fr/ojs/index.php/ijufks/index


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.

Document Type:Article
Title:Visualization of Fuzzy Classifiers
AuthorsInstitution or Email of Authors
Klawonn, FrankUniversity of Applied Sciences Braunschweig/Wolfenbüttel
Kruse, RudolfUniversity of Magdeburg
Date:31 December 2006
Journal or Publication Title:International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems (IJUFKS)
Page Range:pp. 615-624
Publisher:World Scientific Publishing Co. Pte. Ltd.
Keywords:fuzzy classifiers, visualization, multidimensional scaling, fuzzy rules, air traffic management
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:ATM and Operation
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Effiziente Flugführung und Flugbetrieb (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Air traffic systems
Deposited By: Dr.-Ing. Frank Rehm
Deposited On:19 Nov 2007
Last Modified:28 Jan 2014 13:18

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