越览（152）——精读期刊论文的摘要

摘要：This issue of tweets will introduce the abstract of "Conflict-type emergency decision-making method for large groups to protect mi

分享兴趣，传播快乐，

增长见闻，留下美好。

亲爱的您，这里是LearingYard学苑！

今天小编为您带来“越览（152）——精读期刊论文

《保护少数意见的冲突型大群体应急决策方法》的

摘要”。

欢迎您的访问！

Share interest, spread happiness,

increase Knowledge, and leave beautiful.

Dear, this is the LearingYard Academy!

Today, the editor brings the

＂Yue Lan (152)：Intensive reading of the journal article

＇Conflict-type emergency decision-making

method for large groups to

protect minority opinions’

abstract".

Welcome to visit!

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《保护少数意见的冲突型大群体应急决策方法》的摘要。

This issue of tweets will introduce the abstract of "Conflict-type emergency decision-making method for large groups to protect minority opinions" from three aspects: mind map, intensive reading content, and knowledge supplement.

二、思维导图（Mind Map）

三、精读内容（Intensive reading content）

（一）研究背景及目标（Research background and objectives）

本篇期刊论文的摘要，首先介绍了论文的研究背景：应急决策具有时效性强、影响重大的特点，在实际决策过程中，群体意见不一致、存在冲突是常见现象，少数意见虽不占主流，却可能具有重要价值。传统多数决策机制可能忽视少数意见，导致决策质量下降。因此，如何在有限时间内协调多数与少数意见、提升决策质量与效率，成为当前冲突型大群体应急决策中的关键问题。

The abstract of this journal article first introduces the research background of the paper: emergency decision-making is time-sensitive and has a significant impact. In the actual decision-making process, it is common for groups to have inconsistent opinions and conflicts. Although minority opinions are not mainstream, they may have important value. The traditional majority decision-making mechanism may ignore minority opinions, resulting in a decline in decision-making quality. Therefore, how to coordinate majority and minority opinions within a limited time and improve decision-making quality and efficiency has become a key issue in the current conflict-type large group emergency decision-making.

然后，介绍了该论文的研究目标：本文旨在建立一种能兼顾时效性与决策质量、并保护少数意见的应急决策模型，解决大群体决策中由于偏好冲突所引发的协同难题，实现冲突有效消解与意见融合，最终形成被大多数成员认可的可靠决策结果。

Then, the research objectives of this paper are introduced: This paper aims to establish an emergency decision-making model that can take into account timeliness and decision-making quality and protect minority opinions, solve the coordination problems caused by preference conflicts in large group decision-making, achieve effective conflict resolution and opinion integration, and ultimately form a reliable decision-making result recognized by most members.

（二）研究方法与研究内容（Research methods and research content）

在介绍完本文的研究背景及目标之后，摘要继续介绍了研究方法与研究内容。本文围绕冲突型大群体应急决策中少数意见的保护与冲突消解问题，开展了系统研究。首先，分析了应急决策中少数意见的重要性以及在传统群体决策机制中常被忽视的现象，指出保护少数意见对提升决策质量具有关键意义。其次，构建了基于偏好冲突消解的决策模型，致力于在决策过程中合理处理成员之间的偏好差异。为更有效地模拟偏好调整行为，本文引入了客观修正系数，对群体成员的偏好变化进行动态模拟，并进一步提出综合修正系数的概念，以应对实际中部分成员不愿调整偏好的情况。此外，本文还给出了群体冲突水平的定量阈值设定方法，明确了冲突调解的触发条件。最后，通过构造大量具有不同复杂度和紧迫度的应急决策算例，进行模型验证与适用性分析，为模型在实际场景中的推广提供理论支撑。

After introducing the research background and objectives of this paper, the abstract continues to introduce the research methods and research content. This paper conducts a systematic study on the protection and conflict resolution of minority opinions in emergency decision-making of conflict-type large groups. First, the importance of minority opinions in emergency decision-making and the phenomenon that is often ignored in traditional group decision-making mechanisms are analyzed, and it is pointed out that protecting minority opinions is of key significance to improving the quality of decision-making. Secondly, a decision-making model based on preference conflict resolution is constructed, which is committed to reasonably handling the preference differences between members in the decision-making process. In order to more effectively simulate the preference adjustment behavior, this paper introduces an objective correction coefficient to dynamically simulate the preference changes of group members, and further proposes the concept of comprehensive correction coefficient to deal with the situation in which some members are unwilling to adjust their preferences in practice. In addition, this paper also gives a quantitative threshold setting method for the group conflict level and clarifies the triggering conditions for conflict mediation. Finally, by constructing a large number of emergency decision-making examples with different complexity and urgency, the model is verified and the applicability analysis is carried out to provide theoretical support for the promotion of the model in practical scenarios.

（三）研究结论（Conclusions）

摘要部分最后介绍了研究结论。本文研究表明，所构建的偏好冲突消解模型能有效保护少数意见，在保障时效性的同时提升应急决策质量。客观与综合修正系数有助于缓解偏好分歧，实现群体意见融合，模型在不同复杂和紧急情境下均表现出良好的适用性和稳定性。

The conclusion of the study is finally introduced in the abstract. This study shows that the constructed preference conflict resolution model can effectively protect minority opinions and improve the quality of emergency decision-making while ensuring timeliness. The objective and comprehensive correction coefficients help to alleviate preference differences and achieve group opinion integration. The model shows good applicability and stability in different complex and emergency situations.

四、知识补充（Knowledge supplement）

偏好聚类方法是一种根据决策者在多属性或多方案上的偏好相似性，将具有相似偏好结构的个体划分为若干子群体的聚类技术。其核心目的是在群体决策中识别出具有共同偏好倾向的成员群体，以便更好地理解和协调群体意见。

Preference clustering is a clustering technique that divides individuals with similar preference structures into several subgroups based on the similarity of decision makers' preferences on multiple attributes or multiple options. Its core purpose is to identify groups of members with common preference tendencies in group decision-making in order to better understand and coordinate group opinions.

偏好聚类方法并不直接聚类个体的特征变量，而是依据决策者在方案排序、评分或选择上的偏好信息（如排序向量、模糊评价、判断矩阵等）进行相似性分析。通过设定某种偏好距离或相似度度量方式，将偏好相似的个体归为一类。

The preference clustering method does not directly cluster the characteristic variables of individuals, but performs similarity analysis based on the preference information of decision makers in the sorting, scoring or selection of options (such as sorting vectors, fuzzy evaluations, judgment matrices, etc.). By setting a certain preference distance or similarity measurement method, individuals with similar preferences are grouped into one category.

常用方法（Common methods）

1. K-means聚类：将偏好向量作为特征输入，通过迭代最小化组内差异进行聚类。

1. K-means clustering: The preference vector is used as the feature input and clustering is performed by iteratively minimizing the intra-group differences.

2.层次聚类：通过逐步合并或拆分偏好相似的个体，形成树状结构。

2. Hierarchical clustering: A tree structure is formed by gradually merging or splitting individuals with similar preferences.

3.模糊聚类：允许个体同时属于多个偏好群体，以不同的隶属度表达其偏好模糊性。

3. Fuzzy clustering: allows individuals to belong to multiple preference groups at the same time and express their preference ambiguity with different membership degrees.

4.基于排序距离的聚类：如Kendall距离、Spearman距离等，专门用于排序型偏好数据的聚类。

4. Clustering based on sorting distance: such as Kendall distance, Spearman distance, etc., which are specifically used for clustering sorting preference data.

5.基于判别模型的聚类方法：如EM算法下的高斯混合模型，对偏好分布进行建模并分类。

5. Clustering methods based on discriminant models: such as the Gaussian mixture model under the EM algorithm, which models and classifies the preference distribution.

今天的分享就到这里了。

如果您对文章有独特的想法，

欢迎给我们留言，让我们相约明天。

祝您今天过得开心快乐！

That's all for today's sharing.

If you have a unique idea about the article,

please leave us a message,

and let us meet tomorrow.

I wish you a nice day!

文案|yyz

排版|yyz

审核|hzy