Early warning method of power supply enterprise service network public opinion based on fuzzy reasoning

Qianqian Li, Wenjie Fan, Xiaozhou Shen, Jing Li
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Abstract

To improve the accuracy of the power supply enterprise service network public opinion crisis early warning, the fuzzy reasoning theory is introduced to carry out the design research of the power supply enterprise service network public opinion early warning method. Based on public opinion topic intensity, development heat and public attitude, the power supply enterprise service network public opinion early warning index system is constructed. Combined with fuzzy reasoning theory, the index membership degree and early warning level membership degree are calculated. Through the learning method, the public opinion early warning level judgment rule is learned, and the public opinion early warning level judgment and early warning display are completed. The experiment proves that the new public opinion early warning method can accurately judge the degree of public opinion crisis, and give a reasonable and intuitive early warning display result.
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基于模糊推理的供电企业服务网舆情预警方法
为提高供电企业服务网舆情危机预警的准确性,引入模糊推理理论,对供电企业服务网舆情预警方法进行设计研究。基于舆论话题强度、发展热度和公众态度,构建了供电企业服务网舆情预警指标体系。结合模糊推理理论,计算了指标隶属度和预警等级隶属度。通过学习方法,学习舆情预警等级判断规则,完成舆情预警等级判断和预警展示。实验证明,新的舆情预警方法能够准确判断舆情危机的程度,并给出合理直观的预警显示结果。
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