Information fusion by fuzzy integral

Tuan D. Pham; Hong Yan

Information fusion by fuzzy integral

Tuan D. Pham
, Hong Yan

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems
Pages	191-194
Publication status	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 Australian New Zealand Conference on Intelligent Information Systems - Adelaide, Aust Duration: 18 Nov 1996 → 20 Nov 1996

Conference

Conference	Proceedings of the 1996 Australian New Zealand Conference on Intelligent Information Systems
City	Adelaide, Aust
Period	18/11/96 → 20/11/96

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{733e4560491b4a1ca3fd441ab7d2cdf0,

title = "Information fusion by fuzzy integral",

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.",

author = "Pham, \{Tuan D.\} and Hong Yan",

year = "1996",

language = "English",

pages = "191--194",

booktitle = "Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems",

note = "Proceedings of the 1996 Australian New Zealand Conference on Intelligent Information Systems ; Conference date: 18-11-1996 Through 20-11-1996",

}

TY - GEN

T1 - Information fusion by fuzzy integral

AU - Pham, Tuan D.

AU - Yan, Hong

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0030378636

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0030378636&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 191

EP - 194

BT - Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems

T2 - Proceedings of the 1996 Australian New Zealand Conference on Intelligent Information Systems

Y2 - 18 November 1996 through 20 November 1996

ER -

Information fusion by fuzzy integral

Abstract

Conference

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this