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A fuzzy approach to multi-sensor data fusion for quality profile classification
Linköping University, Linköping, Sweden.
Linköping University, Linköping, Sweden.ORCID iD: 0000-0002-9477-4044
1996 (English)In: M'96: IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, New York, USA: IEEE conference proceedings, 1996, 215-221 p.Conference paper, (Refereed)
Abstract [en]

In the present paper a multi-sensor system is considered wlicre the sensors comprising it utilize the principles of huinan olfactory sensing and the processing of the sensor iiicasurcnients is done by a fuzzy sensor fusion technique. 'l'hc enipliasis of the paper is on the fuzzy fusion technique used for the classification of the numerical measurements of a quality characteristic in different fuzzy quality profiles.

Place, publisher, year, edition, pages
New York, USA: IEEE conference proceedings, 1996. 215-221 p.
National Category
Engineering and Technology Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-39010DOI: DOI: 10.1109/MFI.1996.572180ISI: A1996BG88Y00029Scopus ID: 2-s2.0-0030384124ISBN: 0-7803-3700-X (print)OAI: oai:DiVA.org:oru-39010DiVA: diva2:766092
Conference
1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, December Washington, USA, 8-11 December, 1996
Funder
Knowledge Foundation
Note

A multi-sensor system is considered where the sensors comprising it utilize the principles of human olfactory sensing and the processing of the sensor measurements is done by a fuzzy sensor fusion technique. The emphasis of the paper is on the fuzzy fusion technique used for the classification of the numerical measurements of a quality characteristic in different fuzzy quality profiles

Available from: 2014-11-26 Created: 2014-11-26 Last updated: 2015-09-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf