基于直觉模糊集的应急救援计划中应急情景相似度度量

Xiuming Mo , Xiaoguang Zhou , Yuantao Song
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引用次数: 8

摘要

应急管理是近年来系统工程领域的研究热点。本文旨在开发一个决策工具,供政府机构在紧急救援中使用,当他们需要将当前情况与应急计划中描述的最合适的场景之一相匹配时。由于应急救援中难以获得明确的灾害日期,我们研究了不确定数据ifs下的情景匹配。Atanassov提出的直觉模糊集(IFSs)由于其数据易于获取和适合应急救援的特点,在各个领域得到了广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emergency Scenario Similarity Measures in Emergency Rescue Planning Based on Intuitionistic Fuzzy Sets

These years, emergency management is a research hotspot in System engineering. This paper aims to develop a decision-making tool that can be used by government agencies in emergency rescue, when they need to match present situation to one of the fittest scenario described in emergency plan. As clear disaster date in emergency rescue could hardly be gotten, we study the scenario matching with uncertain data IFSs. Intuitionistic fuzzy sets (IFSs), proposed by Atanassov, have gained attention from researchers for their applications in various fields, IFSs data is easier to get and fit for emergency rescue.

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