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基于犹豫模糊图的信息识别与检测

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犹豫模糊图能同时处理不确定性信息中的模糊性和犹豫性,可以对不确定背景下的模糊信息进行识别和检测排序而被广泛应用。论文利用犹豫模糊超图的相关结论和性质,对多元属性的犹豫模糊信息进行识别与检测排序。首先,构建了基于犹豫模超图模型的多属性信息决策方法。然后,通过算例的比较性来验证检测排序算法的可行性。
Information Recognition and Detection Based on Hesitation Fuzzy Graph
Hesitant fuzzy graph can deal with ambiguity and hesitancy in uncertain information at the same time,and can iden-tify and order fuzzy information in uncertain background,so it is widely used.Based on the conclusions and properties of the hesitat-ing fuzzy hypergraph,the hesitating fuzzy information with multivariate attributes is identified and sorted.Firstly,a multi-attribute information decision making method based on hesitating modulus supergraph model is constructed.Then,the feasibility of the algo-rithm is verified by the comparison of the examples.

hesitation fuzzy hypergraphmulti-attribute decision makingpattern recognition and detection

陈辰

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武汉数字工程研究所 武汉 430205

犹豫模糊超图 多属性决策 模式识别与检测

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(1)
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