Title :
A fuzzy approach to multi-sensor data fusion for quality profile classification
Author :
Wide, Peter ; Driankov, Dimiter
Author_Institution :
Dept. of Phys. & Meas., Linkoping Univ., Sweden
Abstract :
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
Keywords :
chemical sensors; fuzzy set theory; pattern classification; quality control; sensor fusion; signal sampling; fuzzy approach; fuzzy sensor fusion technique; human olfactory sensing; multi-sensor data fusion; quality characteristic; quality profile classification; Density measurement; Fuzzy control; Fuzzy sets; Fuzzy systems; Olfactory; Particle measurements; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3700-X
DOI :
10.1109/MFI.1996.572180
