城市环境质量的未确知测度评价

The Unascertained Measurement Evaluation on a City's Environmental Quality

在未确知测度空间基础上，建立未确知测度评价模型并用于城市环境质量评价； 与模糊综合评判、灰色聚类分析、物元分析、ＢＰ人工神经网络等评价方法比较，未确知测度评价模型严谨，评价结果合理、精细、分辨率高，更适合于环境质量评价；

On the basis of the unascertained measurement space, this paper sets up the model of unascertained measurement evaluation and uses it to evaluate a city's environmental quality. Compared with the fuzzy synthetical evaluation, grey cluster analysis, matter\|element analysis and BP artificial neural network, this model is perfect, the evaluating result is more reasonable and its resolving power is higher. It is more suitable for evaluating the environmental quality.