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基于改进灰色聚类法的空气质量综合评价 被引量:1

Air Quality Comprehensive Evaluation Based on Improved Grey Clustering Method
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摘要 通过构造指数型的白化函数和熵权法对灰色聚类法加以改进。此法充分利用已知的有限信息;避免了主观因素对环境质量综合评价的影响;使评价结果更符合实际、更准确。结合阜新市功能区空气质量评价的实例,介绍了此法的具体应用,并与经典灰色聚类法的结果相比较,除了个别功能区的评价等级有差异外,总体来看评价结果差异很小。对比值得出的结论是评价等级均为良,验证了改进方法的可行性和有效性。 The grey clustering method is improved by the constructing whitened functions of exponent type and entropy weight method. The limited infornmtion known is made full used. The effects of subjective factors on the environment quality comprehensive evaluation are avoi- ded. So the evaluation results are more practical and accurate. Taking air quality evaluation of Fuxin city as an example,the results are com- pared with that of classic grey clustering method. It's shown that except for little differences in evaluation rating of individual functional areas, evaluation results between these two methods are consistent. The feasibility and effectiveness of improved grey clustering method are verified.
作者 冯涛 刘志斌
出处 《世界科技研究与发展》 CSCD 2010年第5期659-662,共4页 World Sci-Tech R&D
关键词 灰色聚类法 白化函数 空气质量评价 grey clustering method whitened functions entropy air quality evaluation
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