评估危机信息传播有效性的模糊人工神经网络方法

发布时间：2018-12-11 10:14

【摘要】：如何评估危机信息传播有效性是危机管理研究中一项重要内容,但至今尚缺乏科学的定量评估方法,为弥补此项空白,引入模糊人工神经网络方法.通过对危机信息特征、危机信息传播特征、危机信息传播方式的分析,构建了危机信息传播有效性的评估指标体系.依据评估指标模糊性的特点,应用模糊人工神经网络理论,利用人工神经网络的自学习、非线性动态处理等特征进行危机信息传播有效性的评估,建立了危机信息传播有效性的模糊评估模型,为研究危机信息传播评估中的不确定性、模糊性和动态性提供了一条新的途径,同时也避免了建立复杂的数学模型描述非线性关系所遇到的困难.该文是对危机信息传播有效性评估理论与方法的拓展,为危机信息传播有效性的定量研究提供了思路.
[Abstract]:How to evaluate the effectiveness of crisis information dissemination is an important part of crisis management research, but there is still a lack of scientific quantitative evaluation method. In order to fill this gap, fuzzy artificial neural network method is introduced. Through the analysis of the characteristics of crisis information and the mode of crisis information dissemination, the evaluation index system of the effectiveness of crisis information dissemination is constructed. According to the fuzziness of evaluation index, the theory of fuzzy artificial neural network is applied to evaluate the effectiveness of crisis information transmission by using the characteristics of self-learning and nonlinear dynamic processing of artificial neural network. A fuzzy evaluation model of the effectiveness of crisis information dissemination is established, which provides a new way to study the uncertainty, fuzziness and dynamics of crisis information dissemination evaluation. At the same time, it avoids the difficulty of establishing complex mathematical models to describe nonlinear relations. This paper is an extension of the theory and method of evaluating the effectiveness of crisis information dissemination, and provides a way for the quantitative study of the effectiveness of crisis information dissemination.
【作者单位】：哈尔滨工业大学管理学院;
【基金】：国家自然科学基金资助项目(70201005) 新世纪优秀人才支持计划基金资助项目(NCET-05-0352) 高等学校博士点专项科研基金资助项目(20070213615)
【分类号】：C931.6;F224

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