基于犹豫模糊图的信息识别与检测
Information Recognition and Detection Based on Hesitation Fuzzy Graph
陈辰1
作者信息
- 1. 武汉数字工程研究所 武汉 430205
- 折叠
摘要
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.
Abstract
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.
关键词
犹豫模糊超图/多属性决策/模式识别与检测Key words
hesitation fuzzy hypergraph/multi-attribute decision making/pattern recognition and detection引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据