《几类犹豫模糊决策方法研究》精读

Intensive reading of

"Study on Methods for Hesitant Fuzzy Decision Making"

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今天小编为大家带来《几类犹豫模糊决策方法研究》精读。

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本期推文阅读时长大约5分钟，请您耐心阅读。

Share interest, spread happiness,

increase knowledge, and leave beautiful.

Dear you,

this is the LearingYard Academy!

Today, the editor brings intensive reading of "

Study on Methods for Hesitant Fuzzy Decision Making".

Welcome your visit!

The reading time of this tweet is about 5 minutes, please read it with patience.

今天小编为大家带来《几类犹豫模糊决策方法研究》未知权重下一个新的犹豫模糊多属性决策方法精读，分为五个部分，分别是预备知识、新的广义犹豫模糊混合加权集成算子、未知权重下一个新的犹豫模糊多属性决策方法、案例分析、本章小结。

Today, the editor brings you a new hesitant fuzzy multi-attribute decision-making method under the unknown weight of "Study on Methods for Hesitant Fuzzy Decision Making", which is divided into five parts, namely preliminary knowledge, new generalized hesitation fuzzy mixed weighted integrated operator, unknown weight under a new hesitant fuzzy multi-attribute decision-making method, case analysis, and summary of this chapter.

预备知识部分，介绍了犹豫模糊集、犹豫模糊元、犹豫模糊序中心聚合度函数、犹豫模糊元排序准则、犹豫模糊元的基本准则、广义犹豫模糊混合平均算子等定义。

In the Preliminary Knowledge section, the definitions of hesitation fuzzy set, hesitation fuzzy element, hesitation fuzzy order center aggregation degree function, hesitation fuzzy element sorting criterion, basic criterion of hesitation fuzzy element, generalized hesitation fuzzy mixed average operator are introduced.

新的广义犹豫模糊混合加权集成算子部分，文章介绍了新的广义犹豫模糊混合加权平均算子、新的广义犹豫模糊混合加权几何算子定义、及一些定理和证明。

In the New Generalized Hesitation Fuzzy Hybrid Weighted Integrated Operator section, the article introduces the new generalized hesitation fuzzy mixed weighted average operator, the new generalized hesitation fuzzy mixed weighted geometric operator definition, and some theorems and proofs.

未知权重下一个新的犹豫模糊多属性决策方法部分，首先介绍属性权重的计算方式，其次文章基于正态分布的方法确定算子相关权重向量，最后介绍了算法的步骤。

The next hesitant fuzzy multi-attribute decision-making method section under Unknown Weights first introduces how attribute weights are calculated, followed by the article Determine the Operator-Related Weight Vector based on the Normal Distribution Method, and finally introduces the steps of the algorithm.

案例分析部分，通过案例证明算法的合理性，通过上节介绍的步骤及公式进行决策。然后进行了敏感性分析。最后与基于GHFHWA，GHFHWG算子和基于GHFHA,GHFHG的方法进行比较，得出的结论都是文章提出的新方法更加优秀。

In the case study section, the rationality of the algorithm is justified by case studies, and the decisions are made through the steps and formulas described in the previous section. A sensitivity analysis was then performed. Finally, the method of GHFHWA and GHFHWG operators was used to compare, and compared with the method based on GHFHA and GHFHG, and the conclusions were that the new method proposed in the article was more excellent.

小结部分，总结了第二章的具体内容，介绍了文章提出的算法的优点在于新的广义犹豫模糊混合加权集成算子满足幂等性；与其它算子相比，计算过程更简单；由评估信息本身计算算子相关权重向量和属性权重。

In the summary part, the specific content of the second chapter is summarized, and the advantages of the algorithm proposed in this paper are that the new generalized hesitation fuzzy mixed weighted ensemble operator satisfies idempotency; Compared with other operators, the calculation process is simpler; The operator correlation weight vector and attribute weights are calculated from the evaluation information itself.

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参考资料：Bing Microsoft Translator

参考文献：[1]蒋沈庆. 几类犹豫模糊决策方法研究 [D]. 南京师范大学, 2021.

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文字|Zheng

排版|Zheng

审核|任务达人