---
_id: '2071'
abstract:
- lang: eng
  text: In this paper, a fuzzy pattern classification tuning approach is proposed,
    which is based on fusion concept. In this method, tuning parameters are learned
    in a training procedure, enabling system to be capable of managing individual
    classification task. Fuzzy c-means, as a specific instance of Tuning Reference,
    is employed as a tool to offer membership function which is used for making decisions
    and its membership function fuses (tunes) another membership function captured
    from fuzzy pattern classification and then final decisions are made upon fused
    one. Experiments are taken on five benchmark datasets, one of them shows an equal
    performance and the other four present better results than each single classifier.
author:
- first_name: Rui
  full_name: Li, Rui
  id: '2000'
  last_name: Li
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning
    based on Fusion Concept. In: In: The 11th Conference on Information Fusion, June
    30 - July 3, Cologne, Germany; 2008.'
  apa: 'Li, R., &#38; Lohweg, V. (2008). Fuzzy Pattern Classification Tuning by Parameter
    Learning based on Fusion Concept. In: The 11th Conference on Information Fusion,
    June 30 - July 3, Cologne, Germany.'
  bjps: '<b>Li R and Lohweg V</b> (2008) Fuzzy Pattern Classification Tuning by Parameter
    Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion,
    June 30 - July 3, Cologne, Germany.'
  chicago: 'Li, Rui, and Volker Lohweg. “Fuzzy Pattern Classification Tuning by Parameter
    Learning Based on Fusion Concept.” In: The 11th Conference on Information Fusion,
    June 30 - July 3, Cologne, Germany, 2008.'
  chicago-de: 'Li, Rui und Volker Lohweg. 2008. Fuzzy Pattern Classification Tuning
    by Parameter Learning based on Fusion Concept. In: . In: The 11th Conference on
    Information Fusion, June 30 - July 3, Cologne, Germany.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Rui</span> ; <span style="font-variant:small-caps;">Lohweg,
    Volker</span>: Fuzzy Pattern Classification Tuning by Parameter Learning based
    on Fusion Concept. In:  : In: The 11th Conference on Information Fusion, June
    30 - July 3, Cologne, Germany, 2008'
  havard: 'R. Li, V. Lohweg, Fuzzy Pattern Classification Tuning by Parameter Learning
    based on Fusion Concept, in: In: The 11th Conference on Information Fusion, June
    30 - July 3, Cologne, Germany, 2008.'
  ieee: R. Li and V. Lohweg, “Fuzzy Pattern Classification Tuning by Parameter Learning
    based on Fusion Concept,” 2008.
  mla: 'Li, Rui, and Volker Lohweg. <i>Fuzzy Pattern Classification Tuning by Parameter
    Learning Based on Fusion Concept</i>. In: The 11th Conference on Information Fusion,
    June 30 - July 3, Cologne, Germany, 2008.'
  short: 'R. Li, V. Lohweg, in: In: The 11th Conference on Information Fusion, June
    30 - July 3, Cologne, Germany, 2008.'
  ufg: '<b>Li, Rui/Lohweg, Volker (2008)</b>: Fuzzy Pattern Classification Tuning
    by Parameter Learning based on Fusion Concept, in: .'
  van: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning
    based on Fusion Concept. In In: The 11th Conference on Information Fusion, June
    30 - July 3, Cologne, Germany; 2008.'
date_created: 2019-11-29T14:09:33Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
keyword:
- tuning parameter
- information fusion
- fuzzy cmeans
- membership function
- fuzzy pattern classification
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/4632223/keywords#full-text-header
publication_identifier:
  isbn:
  - 978-3-8007-3092-6
publication_status: published
publisher: 'In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne,
  Germany'
status: public
title: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept
type: conference
user_id: '45673'
year: 2008
...
