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基于模糊识别的声环境质量综合评价
引用本文:李名升,佟连军,仇方道. 基于模糊识别的声环境质量综合评价[J]. 辽宁工程技术大学学报(自然科学版), 2009, 28(5)
作者姓名:李名升  佟连军  仇方道
作者单位:1. 中国环境监测总站,北京,100012
2. 中国科学院,东北地理与农业生态研究所,吉林,长春,130012
3. 徐州师范大学城市与环境学院,江苏徐州,221116
基金项目:国家自然科学基金资助项目,国家自然科学基金重点资助项目 
摘    要:针对声环境质量评价中存在的问题,提出了一种结合级别特征值法的噪声综合评价模糊识别模型,克服了传统模糊综合评价在最大隶属度原则、算子、隶属函数等方面的缺陷.利用该方法所得到的级别特征值不但反映了样本的属性,而且可以对各个样本按照同一标准进行比较.在对吉林省的实例研究中,分别求解区域噪声、道路交通噪声、功能区噪声的级别特征值,然后进行等权平均得到最终评价结果.结果显示:吉林省声环境质量自1990s以来呈明显好转趋势.

关 键 词:模糊识别  噪声  级别特征值  综合评价

Comprehensive environmental evaluation on noise impact based on fuzzy recognition
LI Mingsheng,TONG Lianjun,QIU Fangdao. Comprehensive environmental evaluation on noise impact based on fuzzy recognition[J]. Journal of Liaoning Technical University (Natural Science Edition), 2009, 28(5)
Authors:LI Mingsheng  TONG Lianjun  QIU Fangdao
Affiliation:LI Mingsheng1,TONG Lianjun2,QIU Fangdao3(1.China National Environmental Monitoring Center,Beijing 100012,China,2.Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of Sciences,Changchun 130012,3.College of Urban and Environmental Sciences,Xuzhou Normal University,Xuzhou 221116,China)
Abstract:In order to overcome the problems in noise evaluation,a new fuzzy recognition model was proposed to evaluate the noise quality,which combined with the rank eigenvalues.The model overcomes some shortcomings in conventional fuzzy comprehensive evaluation,such as maximum degree of membership principle,operator and membership function.The rank eigenvalues not only reflect the sample properties but also make each sample comparable to the same standard.A case study was conducted in Jilin province.In the case stud...
Keywords:fuzzy recognition  noise  rank eigenvalues  comprehensive evaluation  
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