---
_id: '2117'
abstract:
- lang: eng
  text: The present work aims at a statistically motivated parameterisation for a
    fuzzy classification approach. Its key points are the determination of robust
    parameterisations for the data-driven fuzzy class learning based an statistical
    analyses as well as the preservation of the interpretability of the fuzzy class
    models and the classification process. In particular, order statistics and Monte
    Carlo methods are used to determine distributions and moments of class border
    parameters. These distributions and moments are further applied to evaluate the
    robustness of parameters of the current fuzzy classification model and to propose
    alternative robust parameterisations. The feasibility of the approach is demonstrated
    in the context of a machine diagnosis application.
author:
- first_name: Holger
  full_name: Hähnel, Holger
  last_name: Hähnel
- first_name: Arne-Jens
  full_name: Hempel, Arne-Jens
  last_name: Hempel
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses
    for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann
    F, eds. <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund </i>.
    Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012:115-131.'
  apa: 'Hähnel, H., Hempel, A.-J., Mönks, U., &#38; Lohweg, V. (2012). Integration
    of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.
    In E. Hüllermeier &#38; F. Hoffmann (Eds.), <i>22. Workshop Computational Intelligence,
    06.-7.12.2012, Dortmund </i> (pp. 115–131). Düsseldorf: VDI/VDE-Gesellschaft Mess-
    und Automatisierungstechnik (GMA).'
  bjps: '<b>Hähnel H <i>et al.</i></b> (2012) Integration of Statistical Analyses
    for Parametrisation of the Fuzzy Pattern Classification. In Hüllermeier E and
    Hoffmann F (eds), <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund
    </i>. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA),
    pp. 115–131.'
  chicago: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks, and Volker Lohweg. “Integration
    of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.”
    In <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund </i>, edited
    by Eike  Hüllermeier and Frank Hoffmann, 115–31. Düsseldorf: VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), 2012.'
  chicago-de: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks und Volker Lohweg. 2012.
    Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.
    In: <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund </i>,
    hg. von Eike  Hüllermeier und Frank Hoffmann, 115–131. Düsseldorf: VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA).'
  din1505-2-1: '<span style="font-variant:small-caps;">Hähnel, Holger</span> ; <span
    style="font-variant:small-caps;">Hempel, Arne-Jens</span> ; <span style="font-variant:small-caps;">Mönks,
    Uwe</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>: Integration
    of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.
    In: <span style="font-variant:small-caps;">Hüllermeier, E.</span> ; <span style="font-variant:small-caps;">Hoffmann,
    F.</span> (Hrsg.): <i>22. Workshop Computational Intelligence, 06.-7.12.2012,
    Dortmund </i>. Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA), 2012, S. 115–131'
  havard: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, Integration of Statistical
    Analyses for Parametrisation of the Fuzzy Pattern Classification, in: E. Hüllermeier,
    F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund
    , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012:
    pp. 115–131.'
  ieee: H. Hähnel, A.-J. Hempel, U. Mönks, and V. Lohweg, “Integration of Statistical
    Analyses for Parametrisation of the Fuzzy Pattern Classification,” in <i>22. Workshop
    Computational Intelligence, 06.-7.12.2012, Dortmund </i>, 2012, pp. 115–131.
  mla: Hähnel, Holger, et al. “Integration of Statistical Analyses for Parametrisation
    of the Fuzzy Pattern Classification.” <i>22. Workshop Computational Intelligence,
    06.-7.12.2012, Dortmund </i>, edited by Eike  Hüllermeier and Frank Hoffmann,
    VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, pp. 115–31.
  short: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, in: E. Hüllermeier, F. Hoffmann
    (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 115–131.'
  ufg: '<b>Hähnel, Holger et. al. (2012)</b>: Integration of Statistical Analyses
    for Parametrisation of the Fuzzy Pattern Classification, in: Eike  Hüllermeier/Frank
    Hoffmann (Hgg.): <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund
    </i>, Düsseldorf, S. 115–131.'
  van: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses
    for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann
    F, editors. 22 Workshop Computational Intelligence, 06-7122012, Dortmund . Düsseldorf:
    VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012. p. 115–31.'
date_created: 2019-12-03T06:59:40Z
date_updated: 2023-03-15T13:49:38Z
ddc:
- '600'
department:
- _id: DEP5023
editor:
- first_name: 'Eike '
  full_name: 'Hüllermeier, Eike '
  last_name: Hüllermeier
- first_name: Frank
  full_name: Hoffmann, Frank
  last_name: Hoffmann
file:
- access_level: closed
  content_type: application/pdf
  creator: 6bl-f5s
  date_created: 2019-12-03T07:00:42Z
  date_updated: 2019-12-03T07:00:42Z
  file_id: '2118'
  file_name: lohweg_integration.pdf
  file_size: 728201
  relation: main_file
file_date_updated: 2019-12-03T07:00:42Z
has_accepted_license: '1'
keyword:
- Fuzzy-Regelung
language:
- iso: eng
page: 115-131
place: Düsseldorf
publication: '22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund '
publication_identifier:
  isbn:
  - 978-3-86644-917-6
publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)
status: public
title: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern
  Classification
type: conference
user_id: '45673'
year: 2012
...
---
_id: '2119'
abstract:
- lang: eng
  text: In this paper, it is proposed a feature selection procedure based on Linear
    Discriminant Analysis. The aim behind this approach is to obtain a minimal set
    of features still enabling a separation between a number of different classes.
    Additionally, the reduced number of features implies faster computation and enables
    resource-limited hardware implementations for real-time signal processing applications.
    Also, incorporating only a small number of features retains the application's
    interpretability as a feature space of maximum three features can be visualised
    directly. Due to this, an expert can directly follow a decision system's answer.
    The proposed method has been evaluated in the context of an electric drive diagnosis
    application. In this scope, the LDA feature selection approach is at least as
    good as the benchmarked feature selection methods. When regarding only a minimal
    number of features, LDA outperforms the other approaches in terms of classification
    accuracy. As a secondary result. one can see how important a sensible choice of
    features is. While some arbitrary combinations produce completely inseparable
    feature spaces. Three are still combinations that can separate the classes even
    linearly such that no sophisticated classification concept (e.g. SVM) is needed.
    The authors are aware of the fact that the findings are shown only in the context
    of one specific application. Based on the work elaborated here, further research
    towards generalisation of the proposed approach is intended to be carried out.
    Additionally, the findings shall be examined using classifier concepts different
    from SVM, such as Fuzzy Pattern Classifiers.
author:
- first_name: Martyna
  full_name: Bator, Martyna
  id: '46440'
  last_name: Bator
- first_name: Alexander
  full_name: Dicks, Alexander
  id: '1853'
  last_name: Dicks
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Bator M, Dicks A, Mönks U, Lohweg V. Feature Extraction and Reduction Applied
    to Sensorless Drive Diagnosis. In: Frank Hoffmann EH, ed. <i>22. Workshop Computational
    Intelligence, 06.-7.12.2012, Dortmund</i>. Düsseldorf: VDI/VDE-Gesellschaft Mess-
    und Automatisierungstechnik (GMA); 2012:163-177.'
  apa: 'Bator, M., Dicks, A., Mönks, U., &#38; Lohweg, V. (2012). Feature Extraction
    and Reduction Applied to Sensorless Drive Diagnosis. In E. H. Frank Hoffmann (Ed.),
    <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund</i> (pp. 163–177).
    Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).'
  bjps: '<b>Bator M <i>et al.</i></b> (2012) Feature Extraction and Reduction Applied
    to Sensorless Drive Diagnosis. In Frank Hoffmann EH (ed.), <i>22. Workshop Computational
    Intelligence, 06.-7.12.2012, Dortmund</i>. Düsseldorf: VDI/VDE-Gesellschaft Mess-
    und Automatisierungstechnik (GMA), pp. 163–177.'
  chicago: 'Bator, Martyna, Alexander Dicks, Uwe Mönks, and Volker Lohweg. “Feature
    Extraction and Reduction Applied to Sensorless Drive Diagnosis.” In <i>22. Workshop
    Computational Intelligence, 06.-7.12.2012, Dortmund</i>, edited by Eike Hüllermeier
    Frank Hoffmann, 163–77. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA), 2012.'
  chicago-de: 'Bator, Martyna, Alexander Dicks, Uwe Mönks und Volker Lohweg. 2012.
    Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: <i>22.
    Workshop Computational Intelligence, 06.-7.12.2012, Dortmund</i>, hg. von Eike
    Hüllermeier Frank Hoffmann, 163–177. Düsseldorf: VDI/VDE-Gesellschaft Mess- und
    Automatisierungstechnik (GMA).'
  din1505-2-1: '<span style="font-variant:small-caps;">Bator, Martyna</span> ; <span
    style="font-variant:small-caps;">Dicks, Alexander</span> ; <span style="font-variant:small-caps;">Mönks,
    Uwe</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>: Feature
    Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: <span style="font-variant:small-caps;">Frank
    Hoffmann, E. H.</span> (Hrsg.): <i>22. Workshop Computational Intelligence, 06.-7.12.2012,
    Dortmund</i>. Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA), 2012, S. 163–177'
  havard: 'M. Bator, A. Dicks, U. Mönks, V. Lohweg, Feature Extraction and Reduction
    Applied to Sensorless Drive Diagnosis, in: E.H. Frank Hoffmann (Ed.), 22. Workshop
    Computational Intelligence, 06.-7.12.2012, Dortmund, VDI/VDE-Gesellschaft Mess-
    und Automatisierungstechnik (GMA), Düsseldorf, 2012: pp. 163–177.'
  ieee: M. Bator, A. Dicks, U. Mönks, and V. Lohweg, “Feature Extraction and Reduction
    Applied to Sensorless Drive Diagnosis,” in <i>22. Workshop Computational Intelligence,
    06.-7.12.2012, Dortmund</i>, 2012, pp. 163–177.
  mla: Bator, Martyna, et al. “Feature Extraction and Reduction Applied to Sensorless
    Drive Diagnosis.” <i>22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund</i>,
    edited by Eike Hüllermeier Frank Hoffmann, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA), 2012, pp. 163–77.
  short: 'M. Bator, A. Dicks, U. Mönks, V. Lohweg, in: E.H. Frank Hoffmann (Ed.),
    22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 163–177.'
  ufg: '<b>Bator, Martyna et. al. (2012)</b>: Feature Extraction and Reduction Applied
    to Sensorless Drive Diagnosis, in: Eike Hüllermeier Frank Hoffmann (Hg.): <i>22.
    Workshop Computational Intelligence, 06.-7.12.2012, Dortmund</i>, Düsseldorf,
    S. 163–177.'
  van: 'Bator M, Dicks A, Mönks U, Lohweg V. Feature Extraction and Reduction Applied
    to Sensorless Drive Diagnosis. In: Frank Hoffmann EH, editor. 22 Workshop Computational
    Intelligence, 06-7122012, Dortmund. Düsseldorf: VDI/VDE-Gesellschaft Mess- und
    Automatisierungstechnik (GMA); 2012. p. 163–77.'
date_created: 2019-12-03T07:02:29Z
date_updated: 2023-03-15T13:49:38Z
ddc:
- '600'
department:
- _id: DEP5023
editor:
- first_name: Eike Hüllermeier
  full_name: Frank Hoffmann, Eike Hüllermeier
  last_name: Frank Hoffmann
file:
- access_level: closed
  content_type: application/pdf
  creator: 6bl-f5s
  date_created: 2019-12-03T07:03:37Z
  date_updated: 2019-12-03T07:03:37Z
  file_id: '2120'
  file_name: lohweg_feature.pdf
  file_size: 580127
  relation: main_file
file_date_updated: 2019-12-03T07:03:37Z
has_accepted_license: '1'
language:
- iso: eng
page: 163-177
place: Düsseldorf
publication: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund
publication_identifier:
  isbn:
  - 978-3-86644-917-6
publication_status: published
publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)
status: public
title: Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis
type: conference
user_id: '45673'
year: 2012
...