安玲学记（203）——精读期刊论文7结束语

摘要：This issue of tweets will introduce the 7 closing remarks of the intensive reading journal paper "MARCOs-based two-dimensional lan

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今天小编为大家带来“精读期刊论文《基于MARCOS的二维语言直觉多属性群决策方法》的7结束语”。

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Today, the editor brings the "the 7 closing remarks of the journal paper 'MARCOs-based two-dimensional language intuitive multi-attribute group decision Method'".

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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期刊论文《基于MARCOS的二维语言直觉多属性群决策方法》的7结束语。

This issue of tweets will introduce the 7 closing remarks of the intensive reading journal paper "MARCOs-based two-dimensional language intuitive multi-attribute group decision Method" from three aspects: mind mapping, intensive reading content, and knowledge supplement.

二、思维导图（Mind Mapping）

三、精读内容（Detailed Reading Content）

这篇论文提出了一种基于二维直觉模糊语言的多属性群决策方法，通过融合二维语言和直觉模糊集的优点，有效处理了决策中的不确定性和模糊信息。通过实证分析验证了方法的有效性，并指出了未来的研究方向，具有重要的理论和实践意义。

In this paper, a multi-attribute group decision making method based on two-dimensional intuitionistic fuzzy language is proposed. By combining the advantages of two-dimensional language and intuitionistic fuzzy set, the uncertainty and fuzzy information in decision making are effectively dealt with. Through the empirical analysis, the validity of the method is verified, and the future research direction is pointed out, which has important theoretical and practical significance.

四、知识补充——广义加权平均（Knowledge Supplement - Generalized Weighted Average）

广义加权平均是一种数学方法，用于计算一组数据的加权平均值。与传统的算术平均不同，广义加权平均考虑了每个数据点的重要性或权重。这种加权方法在许多领域都有广泛的应用，包括统计学、经济学、工程学和机器学习等。

Generalized weighted average is a mathematical method used to calculate the weighted average of a set of data. Unlike traditional arithmetic averages, generalized weighted averages take into account the importance or weight of each data point. This weighting method has a wide range of applications in many fields, including statistics, economics, engineering, and machine learning.