越览(142)——精读期刊论文的1引言和2RODOS系统概要

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摘要:本期推文将从思维导图、精读内容、知识补充三个方面介绍精读期刊论文《Multi-criteria decision support and uncertainty handling, propagation and visualisation for emerg

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今天小编为您带来“越览(142)——精读期刊论文

《Multi-criteria decision support

and uncertainty handling, propagation and

visualisation for emergency and

remediation management》的

1引言和2RODOS系统概要”。

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Today, the editor brings the

"Yue Lan (142):Intensive reading of the journal article

'Multi-criteria decision support

remediation management’

1 Introduction and 2 Overview of RODOS system".

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一、内容摘要(Summary of Content)

本期推文将从思维导图、精读内容、知识补充三个方面介绍精读期刊论文《Multi-criteria decision support and uncertainty handling, propagation and visualisation for emergency and remediation management》的1引言和2RODOS系统概要。

This issue of tweets will introduce the 1 Introduction and 2 Overview of RODOS system of the intensive reading journal article "Multi-criteria decision support and uncertainty handling, propagation and visualisation for emergency and remediation management" from three aspects: mind map, intensive reading content, and knowledge supplement.

二、思维导图(Mind Mapping)

三、精读内容(Intensive reading content)

(一)引言(Introduction)

本节强调,在紧急管理决策中,涉及多方利益相关者,需要达成共识,因此多准则决策分析(MCDA)在确保复杂决策过程的透明性方面具有重要作用。尽管处理不确定性是优质决策的关键组成部分,但过多信息可能使决策支持系统使用者感到负担,因此需要清晰易懂的不确定性可视化与沟通方式。

This section emphasizes that in emergency management decision-making, multiple stakeholders are involved and consensus is required, so multi-criteria decision analysis (MCDA) plays an important role in ensuring transparency in complex decision-making processes. Although dealing with uncertainty is a key component of good decision-making, too much information may overwhelm decision support system users, so clear and understandable uncertainty visualization and communication methods are needed.

作者将不确定性分为三类:数据不确定性(来自对方案后果的计算)、参数不确定性(如MCDA模型中的权重)和模型不确定性(模型作为现实简化所固有的偏差)。文中不考虑模型不确定性,而是重点探讨数据不确定性与数据、参数不确定性的联合分析,并简要介绍了敏感性分析与参数分析在相关研究中的应用。

The author divides uncertainty into three categories: data uncertainty (from the calculation of the consequences of the solution), parameter uncertainty (such as the weights in the MCDA model), and model uncertainty (the inherent bias of the model as a simplification of reality). This paper does not consider model uncertainty, but focuses on the joint analysis of data uncertainty and data and parameter uncertainty, and briefly introduces the application of sensitivity analysis and parameter analysis in related research.

(二)RODOS系统概要(RODOS System Overview)

本节内容介绍了欧洲在发生核或放射性紧急事件时使用的实时在线决策支持系统RODOS的功能与结构。RODOS 提供从污染图和剂量分布等描述性信息到各类应对策略的成本效益分析的全面支持。其结构包含三个子系统:

This section describes the functionality and architecture of RODOS, a real-time online decision support system used in Europe in the event of a nuclear or radiological emergency. RODOS provides comprehensive support, from descriptive information such as contamination maps and dose distribution to cost-benefit analysis of various response strategies. Its architecture consists of three subsystems:

分析子系统(ASY):利用监测和气象数据预测污染分布及变化。

Analysis subsystem (ASY): Uses monitoring and meteorological data to predict pollution distribution and changes.

应对子系统(CSY):模拟应对措施,评估其可行性并计算其后果。

Response Subsystem (CSY): Simulate response measures, assess their feasibility and calculate their consequences.

评估子系统(ESY):集成了Web-HIPRE 工具,引入多准则决策分析(MCDA),基于多属性价值理论(MAVT)评估不同应对策略的综合效用,考虑决策者的偏好权重和CSY量化的影响结果。

Evaluation subsystem (ESY): It integrates the Web-HIPRE tool, introduces multi-criteria decision analysis (MCDA), evaluates the comprehensive utility of different response strategies based on multi-attribute value theory (MAVT), and considers the decision maker's preference weights and the impact results quantified by CSY.

四、知识补充(Knowledge supplement)

RODOS(Real-time On-line Decision Support system)是一个实时在线决策支持系统,专门为应对核或放射性紧急事件而设计,最初由欧洲多个国家联合开发。

RODOS (Real-time On-line Decision Support system) is a real-time online decision support system designed specifically for responding to nuclear or radiological emergencies. It was originally jointly developed by several European countries.

RODOS 的核心目标是:

The core objectives of RODOS are:

1. 在核事故发生时,为决策者提供科学、快速、全面的支持信息。

1. Provide scientific, rapid and comprehensive support information to decision makers when a nuclear accident occurs.

2. 协助选择最合适的应急响应策略,例如人员疏散、食品限制、除污措施等。

2. Assist in selecting the most appropriate emergency response strategy, such as evacuation of personnel, food restrictions, decontamination measures, etc.

3. 将监测数据、气象信息、辐射扩散模型与多准则决策方法(MCDA)结合,用于评估不同策略的效果。

3. Combine monitoring data, meteorological information, radiation diffusion model and multi-criteria decision-making method (MCDA) to evaluate the effectiveness of different strategies.

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翻译:谷歌翻译

参考资料:百度百科、Chat GPT

参考文献:Jutta Geldermann, Valentin Bertsch, Otto Rentz. Multi-criteria decision support and uncertainty handling, propagation and visualisation for emergency and remediation management [J]. Operations Research, 2006, 1(1): 755-760.

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