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Research on the Evolution Law and Response Capability Based on Resource Allocation Model of Unconventional Emergency

机译：基于远规紧急资源分配模型的演化法和响应能力研究

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—Social unconventional emergencies not only bring disaster to human life and living environment, but also cause losses to the country and the people. What’s more, their occurrence tends to cause series of chain reactions and inspire lots of social problems, thus likely to break the social balance, and lead to national instability and social disharmony. In this paper, “concern degree model” is introduced in the research of the evolution law of social unconventional emergencies to find the intrinsic relationship between events and phenomena, which portrays the evolution mechanism of emergencies in a more scientific way. In the assessment study of the response capability of security precaution system, based on the latest approaches of system performance assessment, combined with the concept of concern degree, the response capability of security precaution system in social unconventional emergencies is scientifically assessed. The research provides a new idea in finding the evolution law of unconventional emergencies, and makes the assessment of response capability of security system more objective and scientific. Powerful support is provided in making emergency decisions in unconventional emergencies. A grey-predictionbased emergency resource allocation model is proposed according to the reality and problems of current research on emergency resource allocation and scheduling under unconventional social emergency. This model can be used to optimize the year’s total amounts of emergency resource requirements.
机译：- 社会非传统紧急情况不仅为人类生活和生活环境带来灾难，而且对该国和人民造成损失。更重要的是，他们的发生往往会造成一系列连锁反应并激发许多社会问题，从而可能会破坏社会平衡，导致国家不稳定和社会不稳定性。在本文中，“关注度模型”在社会非传统紧急情况的进化法中介绍了进一步的事件与现象的内在关系，以更为科学的方式描绘了紧急情况的演化机制。在安全预防系统响应能力的评估研究中，基于系统性能评估的最新方法，结合关注程度的概念，在科学评估社会非传统紧急情况下安全预防系统的响应能力。该研究在寻找非传统紧急情况的进化法方面提供了新的想法，并对安全系统的响应能力进行了评估，更客观和科学。在非传统紧急情况下，提供了强大的支持。根据在非传统社会紧急情况下的紧急资源分配和调度当前研究的现实和问题，提出了一种灰度预测的紧急资源分配模型。该模型可用于优化今年的紧急资源需求量。

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