基于案例的推理与基于规则的推理相结合的应急研究

Da Shimin, Shen Huizhang, Liu Hong
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引用次数: 16

摘要

近年来对危机管理和应急决策的研究,特别是决策支持方法的研究显示出其重要性。在研究危机下电火花加工特点的基础上,提出了一种基于案例推理(Case-based Reasoning, CBR)和基于规则推理(Rule-based Reasoning, RBR)的电火花加工迭代决策过程模型。在电火花加工过程中应用CBR可以充分利用前人的经验。使用RBR可以支持CBR修改和重用相似的历史案例。同时,迭代模型将满足危机动态演化过程的要求。因此,该模型有助于识别电火花加工的目标,降低电火花加工的难度和盲目性,提高电火花加工的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Case-Based Reasoning Combined with Rule-Based Reasoning for Emergency
Recently the research on the crisis management and emergency decision making, especially the decision support method, shows its importance. Initiated by researching on the characteristics of EDM for crisis, this paper proposes a novel iterative decision process model based on Case-based Reasoning (CBR) and Rule-based Reasoning (RBR) for EDM. Using CBR in EDM process can make full use of the previous experiences. Using RBR can support CBR to revise and reuse the similar historical cases. At the same time, an iterative model will satisfy the requirement of the dynamically evolutionary process of crisis. Hence, the proposed model can help identifying EDM's objectives, reducing the difficulty and blindness of EDM, and improving the effectiveness and efficiency of EDM process.
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