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Matlab精读复刻论文
Matlab reads the reproduction paper
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!
今天小编为大家带来Matlab精读复刻论文。
欢迎您的用心访问!
本期推文阅读时长大约5分钟,请您耐心阅读。
Share interests, spread happiness,
increase knowledge, and leave beauty behind.
Dear you,
this is LearningYard Academy!
Today,the editor brings you Matlab intensive reading reproduction paper.
Welcome your visit!
The reading time of this tweet is about 5 minutes, please read it with patience.
上周,小编介绍了网络凝聚度和子群凝聚度。本周小编将从思维导图、精读内容、知识补充三个板块介绍节点权重和子群权重。
Last week, I introduced network cohesion and subgroup cohesion. This week, the editor will introduce node weights and subgroup weights from three sections: mind map, intensive reading content, and knowledge supplement.
01
思维导图
该部分的思维导图部分如下图所示:
The keyword mind map part of the article is shown in the following figure:
02
精读内容
接下来将介绍节点权重、子群权重。
Next, we will introduce node weights and subgroup weights.
节点权重
Node weight
节点重要度定义:
Node importance definition:
节点权重定义:
Node weight definition:
节点权重是对节点重要度的归一化。
Node weighting is a normalization of the importance of a node.
子群权重
Subgroup weights
子群重要度定义:
Subgroup importance definition:
文章结合子群凝聚度和子群重要度,给出 一 种新的综合子群权重确定方法。
Combining the cohesion of subgroups and the importance of subgroups, this paper gives a new method for determining the weights of comprehensive subgroups.
子群凝聚度的权重:
Weight of subgroup cohesion:
子群重要度的权重:
Weight of subgroup importance:
综合子群权重:
Comprehensive subgroup weights:
03
知识补充
什么是乘法归一化呢?
What is multiplicative normalization?
基于乘法合成归一化的综合集成赋权方法是直接将主、客观赋权法所得的指标权重以同等偏好的形式直接相乘,并进行归一化处理得到各指标的综合权重。
The comprehensive ensemble weighting method based on multiplication synthesis normalization directly multiplies the index weights obtained by the subjective and objective empowerment methods in the form of equal preference, and normalizes the comprehensive weights of each index to obtain them.
今天的分享就到这里了。
如果您对今天的文章有独特的想法,
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 it for today's sharing.
If you have a unique idea about today’s article,
welcome to leave us a message,
let us meet tomorrow.
I wish you a happy day today!
参考资料:Bing Microsoft Translator、百度、CSDN
参考文献:
[1]王伟明, 徐海燕, 朱建军. 复杂网络视角下的大规模群体DEMATEL决策方法 [J]. 系统工程理论与实践, 2021, 41(1): 200-212.
[2]朱涛,张水平,郭戎潇,常国岑.改进的加权复杂网络节点重要度评估的收缩方法[J].系统工程与电子技术,2009,31(08):1902-1905.
本文由LearningYard学苑原创,如有侵权请在后台留言!
文字|Zheng
排版|Zheng
审核|任务达人
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