Title :
Information fusion by fuzzy integral
Author :
Pham, Tuan D. ; Yan, Hong
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
A fusion of numerical results obtained from multiple classifiers is proposed herein using an aggregation technique based on the fuzzy integral. Experimental results on the fusion of handwritten numeral recognition results show that the performance of this multi-classifier fusion method outperforms that of other conventional classifier-combination techniques
Keywords :
fuzzy logic; handwriting recognition; sensor fusion; aggregation technique; fuzzy integral; handwritten numeral recognition; information fusion; multi-classifier fusion method; multiple classifiers; Australia; Character recognition; Density measurement; Fuzzy set theory; Fuzzy sets; Handwriting recognition; Image analysis; Pattern recognition; Robots; Sensor fusion;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573930
