熵权topsis法 耦合度

熵权topsis法耦合度
英文回答：
Entropy Weight TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is a multi-criteria decision-making method that combines the entropy weight method and the TOPSIS method. The entropy weight method is used to determine the weights of the criteria, while the TOPSIS method is used to rank the alternatives.
The entropy weight method is based on the concept of entropy, which is a measure of the uncertainty or randomness of a system. The higher the entropy, the more uncertain the system is. In the context of multi-criteria decision-making, the entropy of a criterion is a measure of how much information the criterion provides about the alternatives. The more information a criterion provides, the lower its entropy.
The TOPSIS method is based on the concept of distance.
The distance between an alternative and the ideal solution is calculated, as well as the distance between the alternative and the negative ideal solution. The
alternative with the smallest distance to the ideal
solution and the largest distance to the negative ideal solution is the best alternative.
The entropy weight TOPSIS method combines the advantages of the entropy weight method and the TOPSIS method. The entropy weight method provides a more objective way to determine the weights of the criteria, while the TOPSIS method provides a more robust way to rank the alternatives.
The entropy weight TOPSIS method has been successfully applied to a variety of multi-criteria decision-making problems, including:
Site selection for a new factory.
Product design selection.
Supplier selection.
Investment decision-making.
中文回答：
熵权TOPSIS法（基于理想解相似度排序技术）是一种多准则决
策方法，它结合了熵权法和TOPSIS法。

熵权法用于确定准则权重，
而TOPSIS法用于对备选方案进行排序。

熵权法基于熵的概念，熵是对系统的不确定性或随机性的度量。

熵越高，系统越不确定。

在多准则决策的背景下，准则的熵是对准
则提供的信息量的度量。

准则提供的信息越多，其熵越低。

TOPSIS法基于距离的概念。

计算备选方案到理想解的距离以及
备选方案到负理想解的距离。

到理想解距离最小且到负理想解距离
最大的备选方案是最佳备选方案。

熵权TOPSIS法结合了熵权法和TOPSIS法的优点。

熵权法提供
了一种更客观的方式来确定准则权重，而TOPSIS法提供了一种更稳
健的方式对备选方案进行排序。

熵权TOPSIS法已成功应用于各种多准则决策问题，包括：新工厂选址。

产品设计选择。

供应商选择。

投资决策。