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基于 LDWPA 算子和 LD-MABAC 的多群组决策选择应急方案:一种新方法

Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC.

机构信息

School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.

出版信息

Int J Environ Res Public Health. 2020 Apr 24;17(8):2945. doi: 10.3390/ijerph17082945.

DOI:10.3390/ijerph17082945
PMID:32344552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7216116/
Abstract

When an emergency event occurs, it is critical to respond in the shortest possible time. Therefore, the rationality and effectiveness of emergency decisions are the key links in emergency management. In this paper, with aims to investigate the problem of emergency alternatives selection, in which a large number of experts from multiple groups consider the linguistic evaluations of emergency alternatives and prior orders of criteria, a novel emergency decision method is proposed. First, many experts from multiple subgroups are employed to evaluate the emergency alternatives associated with multiple criteria in the format of linguistic terms. Then, linguistic distribution evaluations for the emergency alternatives of the criteria associated with each subgroup are constructed. With respect to the linguistic distribution evaluations associated with the different subgroups, the linguistic distribution power average (LDPA) and linguistic distribution weighted power average (LDWPA) operators are developed so as to aggregate the subgroups' evaluations. Next, based on the linguistic distribution multi-attributive border approximation area comparison (LD-MABAC) method, the distance matrix of the emergency alternatives is calculated. Furthermore, the prior weights of the criteria are determined based on the distance values. Finally, the ranking result of the emergency alternatives is derived. A practical example of emergency alternatives selection is adopted to illustrate the availability and practicability of the proposed method.

摘要

当紧急事件发生时,在最短的时间内做出响应至关重要。因此,应急决策的合理性和有效性是应急管理的关键环节。本文旨在研究应急方案选择问题,其中大量来自多个组的专家考虑了应急方案的语言评估和准则的优先顺序,提出了一种新的应急决策方法。首先,许多来自多个子组的专家以语言术语的形式评估与多个准则相关的应急方案。然后,构建与每个子组相关的准则的应急方案的语言分布评估。针对不同子组的语言分布评估,开发了语言分布幂平均(LDPA)和语言分布加权幂平均(LDWPA)算子,以聚合子组的评估。接下来,基于语言分布多属性边界逼近区域比较(LD-MABAC)方法,计算应急方案的距离矩阵。此外,基于距离值确定准则的先验权重。最后,得出应急方案的排序结果。采用一个应急方案选择的实际案例来说明所提出方法的有效性和实用性。

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A FTA-based method for risk decision-making in emergency response.一种基于故障树分析的应急响应风险决策方法。
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