量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）

小君 2023-05-07 03:01:24 825

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）Dear youShare interest spread happiness increase knowledge and leave beautiful.今天小编给大家带来博士论文精读系列一，欢迎您的用心访问！本期推文阅读时长大约6分钟，请您耐心阅读。

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）(1)

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今天小编给大家带来博士论文精读系列一，

欢迎您的用心访问！

本期推文阅读时长大约6分钟，请您耐心阅读。

Share interest spread happiness increase knowledge and leave beautiful.

Dear you

This is the LearningYard Academy!

Today the editor brings you the first series of intensive reading PhD thesis

Welcome your visit!

This tweet usually takes about 6 minutes to read. Please be patient and read.

本期推文小编将开启博士论文《基于模糊评价信息的多属性决策方法研究》的精读系列，首先给大家带来该论文的题目、摘要和关键词部分的解读，接下来让我们开始今天的学习吧！

In this issue of tweets the editor will start the intensive reading series of the doctoral dissertation "Research on Multi-attribute Decision-Making Methods Based on Fuzzy Evaluation Information". First of all I will bring you an interpretation of the title abstract and key words of the dissertation and then let's start today. Let's learn!

题目

本篇博士论文题目为《基于模糊评价信息的多属性决策方法研究》，选题中突出研究对象和研究问题：多属性决策方法的研究，以及研究背景：基于模糊评价信息，让读者通过题目了解到论文的主要研究问题和方向。

The title of this doctoral dissertation is "Research on Multi-attribute Decision-Making Method Based on Fuzzy Evaluation Information". The research object and research question are highlighted in the topic: research on multi-attribute decision-making method and research background: based on fuzzy evaluation information let readers understand through the title To the main research questions and directions of the thesis.

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）(2)

摘要

阅读论文摘要部分内容，我们可以将其分为三个部分来理解，首先是研究背景，在现代经济管理领域，越来越多的学者和专家都从多属性决策视角展开研究并提出新的多属性决策方法，但是决策问题非常复杂，存在两方面的困扰。

Reading the abstract part of the paper we can divide it into three parts to understand the first is the research background. In the field of modern economic management more and more scholars and experts have carried out research from the perspective of multi-attribute decision-making and proposed new multi-attribute decision-making methods. However the decision-making problem is very complicated and there are two problems.

其次是研究目的，目前国内外学者普遍从模糊集理论视角来研究多属性决策的相关理论和方法，但是随着决策问题愈来愈复杂，经典模糊集理论存在一些不足，因此许多学者基于这些不足提出了许多面向决策场景的模糊集拓展形式，例如直觉模糊集、2 型模糊集、毕达哥拉斯模糊集、犹豫模糊集等。

The second is the research purpose. At present scholars at home and abroad generally study the relevant theories and methods of multi-attribute decision-making from the perspective of fuzzy set theory. However as decision-making problems become more and more complex there are some shortcomings in classical fuzzy set theory. Many fuzzy sets extensions for decision-making scenarios are proposed such as intuitionistic fuzzy sets type 2 fuzzy sets Pythagorean fuzzy sets and hesitant fuzzy sets.

最后是研究内容，文章主要工作集中于三方面，第一是研究了基于 q 阶双犹豫模糊集的多属性决策方法；第二是研究了毕达哥拉斯不确定语言信息和 q 阶正交不确定语言信息的集成算子和多属性决策方法；第三是研究了基于立方 q 阶正交模糊集的多属性决策方法。

The last part is the research content. The main work of the paper focuses on three aspects. The first is to study the multi-attribute decision-making method based on the q-order double hesitant fuzzy set; the second is to study the Pythagorean uncertain linguistic information and the q-order orthogonality. The integration operator and multi-attribute decision-making method for uncertain linguistic information; the third is to study the multi-attribute decision-making method based on cubic q-order orthogonal fuzzy sets.

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）(3)

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）(4)

关键词

最后是关于论文关键词的解读，这里出现的关键词有：多属性决策；信息集成算子；犹豫模糊集；模糊语言集；立方模糊集。关键词多属性决策是文章的核心概念，而作者研究的主要内容是基于几类新的模糊集理论（如双犹豫模糊集、毕达哥拉斯不确定语言集、q 阶正交不确定语言集和立方 q 阶正交模糊集），研究新的多属性决策方法。所以这些关键词明确地反映了这些主题，充分考虑了检索系统目标和读者检索文献的思路与习惯，提高了文章的被检索率。

Finally it is about the interpretation of the keywords of the paper. The keywords that appear here are: multi-attribute decision-making; information integration operator; hesitant fuzzy set; fuzzy language set; cubic fuzzy set. Keyword Multiple-attribute decision-making is the core concept of the article and the main content of the author's research is based on several new fuzzy set theories (such as double hesitant fuzzy sets Pythagorean uncertain language sets q-order orthogonal uncertain languages) sets and cubic q-order orthogonal fuzzy sets) to study new multi-attribute decision-making methods. Therefore these keywords clearly reflect these themes fully consider the goals of the retrieval system and readers' thinking and habits of retrieving literature and improve the retrieval rate of articles.

量化研究的三种研究方法（精读基于模糊评价信息的多属性决策方法研究1）(5)