基于区间模糊集的多传感器目标识别方法

IF 1 4区工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Grey System Pub Date : 2009-09-01 DOI:10.30016/JGS.200909.0005

S. Wan

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引用次数: 10

摘要

采用区间模糊集来表示多传感器目标识别问题，提出了一种结合灰色关联理论和TOPSIS方法的多传感器目标识别新方法。定义了两个区间值模糊集之间的距离。基于区间值模糊集构建了多传感器目标识别模型。该方法采用多目标规划的方法，客观地确定传感器的权重向量。识别结果由目标的接近系数给出。实验结果表明，该方法的目标识别能力大大提高。

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Method Based on Interval-value Vague Set for Multi-sensor Object Recognition

Interval-value Vague set is used to represent the problem of multi-sensor object recognition, a new recognition method is proposed combining the grey relational theory and TOPSIS procedure. The distance between two interval-value Vague sets is defined. The model of multi-sensor object recognition is constructed based on interval-values Vague set. The method uses the multiple objective s programming to determine objectively the weight vector of sensors. The recognition result is given by the closeness coefficient of each target. The experimental result shows that the distinguish ability of target recognition for the method increases greatly.

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来源期刊

Journal of Grey System 数学-数学跨学科应用

CiteScore

2.40

自引率

43.80%

发文量

审稿时长

1.5 months

期刊介绍： The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.