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今天小编为大家带来《基于多粒度犹豫模糊语言信息的多属性群决策方法研究》一文的研究内容和论文结构部分。
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Today, the editor brings the research content and thesis structure of the article "Research on multi-attribute group decision-making method based on multi-granularity hesitant fuzzy language information".
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1 内容摘要（Content summary）
今天小编将从“思维导图、精读内容、知识补充”三个板块，解读分享《基于多粒度犹豫模糊语言信息的多属性群决策方法研究》一文的研究内容和论文结构部分。
Today, the editor will interpret and share the Research content and thesis structure of the article "Research on multi-attribute group decision-making method based on multi-granularity hesitant fuzzy language information" from the three sections of "mind map, intensive reading content, and knowledge supplement".
2 思维导图（Mind mapping）
3 精读内容（Intensive reading content）
研究内容部分，作者首先对文章的研究目的进行了介绍，即通过研究提出群决策共识达成模型和方案排序方法，以期能为解决复杂多属性群决策问题提供模型和方法支持。
In the research content part, the author first introduced the research purpose of the article, which is to propose a group decision-making consensus reaching model and solution ranking method through research, in order to provide model and method support for solving complex multi-attribute group decision-making problems.
文章具体的研究大致包含三个方面，首先是基于多粒度平衡犹豫模糊语言信息的多属性群决策方法研究，作者先是指出了现有方法的一些不足，如共识模型较少考虑专家和属性权重信息、反馈调整建议可解释性差等，然后构建了模型，设计了算法来解决上述问题。作者后续针对已有方案排序方法在某一信息转化步骤中会造成信息损失这一问题，提出了一种基于指派模型的新方法。
The specific research of the article roughly includes three aspects. The first is the research on multi-attribute group decision-making method based on multi-granularity balanced hesitant fuzzy language information. The author first pointed out some shortcomings of existing methods, such as the consensus model less considering expert and attribute weight information, poor interpretability of feedback adjustment suggestions, etc. Then he built a model and designed an algorithm to solve the above problems. The author subsequently proposed a new method based on the assignment model to address the problem that existing solution ranking methods would cause information loss in a certain information transformation step.
