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Fuzzy multi-objective medical service organization selection model considering limited resources and stochastic demand in emergency management

机译：应急管理中资源有限和随机需求的模糊多目标医疗服务机构选择模型

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摘要

In recent years, most countries around the world have faced increasing pressures in the realm of emergency management than ever before. Medical service organization selection is one of the most vital facets of emergency management. Meanwhile, during the selection process, many criteria may conflict with one another and information is uncertain, rendering decision-making processes complex. Hence, multi-objective optimization, fuzzy way and stochastic theories serve as suitable means of addressing such problems. In this paper, a fuzzy multi-objective linear model is developed to overcome medical service organization selection issues and uncertain information. Meanwhile, a fuzzy objective and weight are applied to enable the decision-maker to select suitable schemes while considering stochastic medical service demand. Moreover, real data cannot been obtained. Hence, according to actual conditions, we assume relative information. For illustrative purposes, a numerical example is presented to verify the effectiveness of the proposed model from experimental data.
机译：近年来，世界上大多数国家在应急管理领域面临的压力比以往任何时候都要大。医疗服务机构的选择是应急管理最重要的方面之一。同时，在选择过程中，许多标准可能相互冲突，信息不确定，从而使决策过程变得复杂。因此，多目标优化，模糊方法和随机理论是解决此类问题的合适手段。本文提出了一种模糊的多目标线性模型来克服医疗服务机构的选择问题和不确定的信息。同时，采用模糊的目标和权重，使决策者可以在考虑随机医疗服务需求的同时选择合适的方案。此外，无法获得真实数据。因此，根据实际情况，我们假设相关信息。为了说明的目的，给出了一个数值示例，以从实验数据验证所提出模型的有效性。

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