基于应急决策视角的案例检索及属性权重确定方法

发布时间：2018-03-17 05:25

本文选题：案例推理　切入点：属性权重　出处：《山东大学学报(理学版)》2017年01期 　论文类型：期刊论文

【摘要】：案例推理是突发事件中生成应急方案的一种有效方法,而案例检索是案例推理的重要步骤。针对应急决策中存在决策者的风险态度和问题与解间关联的问题,提出了基于前景理论和灰色系统理论的案例检索方法。根据前景理论定义属性距离的前景值,根据灰色系统理论定义问题与解之间的关联度,并以此构建方案偏差最小化的非线性权重优化模型,求解模型得到最优权重,最后根据相似度确定最优备选方案。通过一个应急案例来验证所提出方法的可行性。
[Abstract]:Case-based reasoning (CBR) is an effective method to generate emergency solutions in emergencies, and case retrieval is an important step in CBR. In view of the risk attitude of decision makers and the problem of correlation between the problem and solution, Case-based reasoning (CBR) is an important step in Case-based reasoning (CBR). A case retrieval method based on foreground theory and grey system theory is proposed. According to the foreground theory, the foreground value of attribute distance is defined, and the correlation degree between the problem and the solution is defined according to the grey system theory. The nonlinear weight optimization model with minimized scheme deviation is constructed, and the optimal weight is obtained by solving the model. Finally, the optimal alternative scheme is determined according to the similarity. The feasibility of the proposed method is verified by an emergency case.
【作者单位】：福州大学决策科学研究所;福建江夏学院电子信息科学学院;福建船政交通职业学院信息工程系;
【基金】：国家杰出青年科学基金资助项目(70925004) 福建省自然科学基金资助项目(2015J01248) 福建省教育厅科技项目(JB14122) 福建江夏学院青年科研人才培育基金资助项目(JXZ2014009)
【分类号】：TP18;N941.5

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