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基于模糊熵的加权可变模糊评价方法及其应用 被引量:1

Weighted Variable Fuzzy Safety Assessment Method Based on Fuzzy Entropy and Its Application
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摘要 可变模糊评价的实质是多模型组合评价.在分析了可变模糊评价法的基础上,针对方法存在的不足,提出了一种考虑模型权重的可变模糊评价方法.方法首先利用可变模糊评价模型对样本进行计算,得到各样本在不同模型下的综合相对隶属度;然后基于得到的综合相对隶属度数据,利用模糊熵确定四种模型的重要性排序,结合二元比较模糊决策分析法求得四种模型的权重,进而得到最终综合级别特征值,并以此作为评价依据;最后,以煤与瓦斯突出危险性评价为例进行了方法的验证.结果表明:改进方法可行、有效,评价结果更符合客观实际. The essence of variable fuzzy assessment was multi-model combination assessment. Base on the analysis of variable fuzzy assessment method, for the shortfall of variable fuzzy assessment method, a variable fuzzy assessment method considering the model weight was presented. Firstly the synthesized relative membership degree of samples was calculated by variable fuzzy assessment model. Then the weight of models is calculated by improved two element contrasting method base on fuzzy entropy. Further composite rank feature value was obtained, and made assessment. Finally a practical example of risk assessment of coal and gas outburst was given to show the effectiveness of the research in application. The results show that improved method is feasible, effective and more objective.
出处 《数学的实践与认识》 北大核心 2015年第7期163-168,共6页 Mathematics in Practice and Theory
关键词 模糊熵 模型权重 综合相对隶属度 可变模糊评价方法 fuzzy entropy model weight synthesized relative membership degree variable fuzzy assessment method
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