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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 (engelsk)Inngår i: M'96: IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, New York, USA: IEEE conference proceedings, 1996, s. 215-221Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
New York, USA: IEEE conference proceedings, 1996. s. 215-221
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-39010DOI: 10.1109/MFI.1996.572180ISI: A1996BG88Y00029Scopus ID: 2-s2.0-0030384124ISBN: 0-7803-3700-X (tryckt)OAI: oai:DiVA.org:oru-39010DiVA, id: diva2:766092
Konferanse
1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, December Washington, USA, 8-11 December, 1996
Forskningsfinansiär
Knowledge Foundation
Merknad

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

Tilgjengelig fra: 2014-11-26 Laget: 2014-11-26 Sist oppdatert: 2022-08-08bibliografisk kontrollert

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