摘要
针对经典灰色聚类法的局限性,通过构造指数型白化函数和熵权法加以改进,提出了环境空气质量综合评价的改进灰色聚类法。此法充分利用已知的有限信息,既提高分辨率又避免主观因素的影响,使评价结果更加客观、准确;最后结合某城市道路环境空气质量评价的实例介绍了该方法的具体应用,并与经典灰色聚类法相比较,验证了方法的可行性和有效性;可以将此方法推广到其他环境质量评价的实践中。
Aimed at the limitations of classic gray-clustering method, through constructing exponential whitenization function and using entropy weight, it is proposed the improved gray-clustering method,which makes full use of the limited known information, the new method not only improves the resolution ratio but also avoids the impact of subjective factors, which makes the evaluation results more objective, accurate. Finally an example of air quality evaluation of a certain city＇s road environment is used to introduce the specific application of the method, which is contrasted with classical gray-clustering method, proving the feasibility and effectiveness. This method can be extended to the practice of other environmental qualitv evaluation.
出处
《环境工程》
CAS
CSCD
北大核心
2009年第2期38-41,57,共5页
Environmental Engineering
基金
国家自然科学基金资助项目(70701017)
关键词
灰色聚类法
白化函数
信息熵
环境空气质量
评价
gray- clustering method
whitenization function
information entropy
environmental air quality
assessment
