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Entropy weight method

熵权法 信息熵权 信息熵 综合权重

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代码分类: 智能算法

开发平台: matlab

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代码描述

中文说明:

按照信息论基本原理的解释,信息是系统有序程度的一个度量,熵是系统无序程度的一个度量;如果指标的信息熵越小,该指标提供的信息量越大,在综合评价中所起作用理当越大,权重就应该越高。因此,可利用信息熵这个工具,计算出各个指标的权重,为多指标综合评价提供依据。


English Description:

According to the explanation of the basic principle of information theory, information is a measure of the order degree of the system, and entropy is a measure of the disorder degree of the system; if the information entropy of an index is smaller, the more information the index provides, the greater the role it plays in the comprehensive evaluation, and the higher the weight it should have. Therefore, we can use the tool of information entropy to calculate the weight of each index and provide the basis for the comprehensive evaluation of multiple indexes.


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