根据信息熵的定义，对于某项指标，可以用熵值来判断某个指标的离散程度，其熵值越小，指标的离散程度越大，该指标对综合评价的影响（即权重）就越大，如果某项指标的值全部相等，则该指标在综合评价中不起作用。(According to the definition of information entropy, the entropy value can be used to judge the degree of dispersion of a certain index. The smaller the entropy value is, the greater the degree of dispersion of the index, the greater the influence (i.e. weight) of the index to the comprehensive evaluation. If the value of a certain index is all equal, the index does not play a role in the comprehensive evaluation.)