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Algorithm for Target Recognition Based on Interval-Valued Intuitionistic Fuzzy Sets with Grey Correlation

机译：基于灰色关联的区间直觉模糊集的目标识别算法

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摘要

In order to improve exact recognition ratios for aerial targets, this paper presents a novel algorithm for target recognition based on interval-valued intuitionistic fuzzy sets with grey correlation. Drawbacks of some previously proposed methods are analyzed, and then a novel algorithm is presented. Recognition matrix of an aerial target is established first. Every entry associated with the matrix is an interval-valued intuitionistic fuzzy number, which is composed of interval-valued membership and nonmembership, representing the relation of the target to one category in terms of one characteristic parameter. Then grey correlation theory is used to analyze the recognition matrix to obtain the grey correlation degree of this unknown target to every category. 200 sets of target recognition data are used to compare the proposed algorithm with traditional methods. Experimental results verify that the correct recognition ratio can be up to 99.5% that satisfies the expectations, which shows the proposed algorithm can solve the target recognition problems better. The proposed algorithm can be used to solve the uncertain inference problems, such as target recognition, threat assessment, and decision making.
机译：为了提高对空中目标的准确识别率，提出了一种基于区间关联直觉模糊集的灰色关联目标识别算法。分析了一些先前提出的方法的缺点，然后提出了一种新颖的算法。首先建立空中目标的识别矩阵。与矩阵关联的每个条目都是一个区间值直觉模糊数，它由区间值隶属度和非隶属度组成，代表一个特征参数表示目标与一个类别的关系。然后利用灰色关联理论对识别矩阵进行分析，得到该未知目标与每个类别的灰色关联度。使用200组目标识别数据将提出的算法与传统方法进行比较。实验结果证明，正确识别率可以达到期望值的99.5％，说明该算法可以较好地解决目标识别问题。该算法可用于解决不确定性推理问题，如目标识别，威胁评估和决策。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|3408191.1-3408191.9|共9页
  • 作者

    Huang Xuan; Guo Lihong; Li Jiang; Yu Yang;

  • 作者单位

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China|Univ Chinese Acad Sci, Beijing 130039, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China;

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