基于熵权的模糊物元模型在水质综合评价中的应用

Application of fuzzy matter-element model based on coefficients of entropy in comprehensive evaluation of water quality

鉴于水质评价中各指标的不确定性和模糊性,将熵值理论与模糊物元建模相结合,应用于水质综合评价中,建立了基于熵权的模糊物元模型。引用信息熵所反映数据本身的效用值来计算指标的权重系数,有效地避免了权重分配困难的问题。该模型以一种新的方法进行水质综合评价,并结合实例进行应用,通过与综合评判法及属性识别法的比较,进一步验证了该模型的合理、简便和实用。

In view of the uncertainty of indexes for evaluating water quality the entropy value theory is applied to combine with fuzzy matter-element method to establish an entropy fuzzy matter-element model. The coefficients of weight in this model are derived from the avail value of data reflecting the information entropy, by this method the problem of weight allocation can be avoided. The calculation result for an example is compared with those by integrated evaluating method and attribute recognition model. It indicates that the proposed method is reasonable and practical.