FUZZY METHODS FOR MULTISENSOR DATA FUSION

被引：45
|
作者：
RUSSO, F
RAMPONI, G
机构：
[1] Department of Electronics and Computer Science (D.E.E.I.), University of Trieste
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1994年 / 43卷 / 02期
关键词：
D O I：
10.1109/19.293435
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new general framework for information fusion based on fuzzy methods. In the proposed architecture, feature extraction and feature fusion are performed by adopting a class of (possibly multidimensional) membership functions which take care of the possibility and admissibility of the feature itself. Test cases of one-dimensional and image data fusion are presented.
引用
收藏
页码：288 / 294
页数：7
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