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安玲学记(127)——精读复刻论文之代码复刻(18)

作者:LearningYard学苑
安玲学记(127)——精读复刻论文之代码复刻(18)

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今天小编为您带来精读复刻论文《基于CWPHM算子和C-DEMATEL的语言型多属性决策方法》之代码复刻(18)。

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 "intensive reading replica paper 'A linguistic Multi-Attribute Decision-Making approach based on the CWPHM operator and C-DEMATEL' for code reproduction (18)".

Welcome to visit!

安玲学记(127)——精读复刻论文之代码复刻(18)

一、内容摘要(Content Summary)

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复刻论文《基于CWPHM算子和C-DEMATEL的语言型多属性决策方法》的代码复刻(18)。

In this issue, we will introduce the code replication (18) of the refined reading paper "Language Type Multi-Attribute Decision-Making Method Based on CWPHM Operator and C-DEMATEL" from three aspects: mind map, refined reading content, and supplementary knowledge.

二、思维导图(Mind Mapping)

安玲学记(127)——精读复刻论文之代码复刻(18)

三、精读内容(Detailed Reading Content)

根据文中CWAA算子的参考文献,可以得到CWAA算子的定义以及举例过程,如下图所示。CWAA算子是根据一定的方式对云的期望、熵和超熵进行加权相加来得到聚合信息的特征值。

Based on the references in the paper, the definition and example process of the CWAA operator can be obtained, as shown in the figure below. The CWAA operator is a weighted aggregation of expectations, entropy, and hyperentropy of clouds in a certain way to obtain characteristic values of aggregated information.

安玲学记(127)——精读复刻论文之代码复刻(18)
安玲学记(127)——精读复刻论文之代码复刻(18)

运用CWAA算子对各干部信息集结的代码及运算结果如下图所示。

The code and calculation results of using the CWAA operator for the information aggregation of each cadre are shown in the figure below.

安玲学记(127)——精读复刻论文之代码复刻(18)

四、知识补充——云逆向发生器(Supplementary Knowledge — Cloud Reverse Generator)

若需要将定量概念变换为定性概念则可以利用逆向云发生算法事项,即正向运算法的逆向过程,从给定的云滴样本中根据逆向云生成算法得到3个数字特征值,从而实现对样本数据的定性评价,如下图所示。依此思路,根据样本即可得到云的点估计值。

If it is necessary to transform quantitative concepts into qualitative concepts, the reverse cloud generation algorithm can be used, which is the reverse process of the forward operation method. Three numerical characteristic values can be obtained from the given cloud droplet samples based on the reverse cloud generation algorithm, thus achieving qualitative evaluation of sample data, as shown in the figure below. Following this approach, the point estimate of the cloud can be obtained based on the sample.

安玲学记(127)——精读复刻论文之代码复刻(18)
安玲学记(127)——精读复刻论文之代码复刻(18)

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参考资料:ChatGPT、百度百科

参考文献:

王伟明, 徐海燕, 朱建军等. 基于CWPHM算子和C-DEMATEL的语言型多属性决策方法 [J/OL]. 中国管理科学, 2023, 1(1): 1-13.

本文由LearningYard学苑整理并发出,如有侵权请在后台留言!

文案| Ann

排版| Ann

审核| Wei

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