摘要
研究水环境保护,减少污染,水环境质量评价是环境质量评价中的重要组成部分,为区域环境系统的污染控制规划及环境系统工程方案的制定提供依据。模糊综合评价法是目前应用较广的水环境评价方法,根据水环境评价的特点,在模糊综合评价模型基础上,使用指数隶属函数,解决了非相邻等级隶属函数为0时,被忽略了其对评价结果影响的问题;引入信息熵,将熵值系数用以修正采用超标比计算的评价因子权重,避免了权重确定中过于依赖严重超标的评价因子。经实验验证,评价结果更合理。
According to the water environment assessment characteristics,the fuzzy comprehensive model was optimized. First,the exponential membership function was put forward.The problem was solved but the result was warped because the affect of this indicator was neglected when the membership function of non - neighboring grade is zero.Second,when the over - standard ratio of some indicator is huge,the indicator was excessively relied on during the evaluation.The introduction of the information entropy has revised the weight coefficient with the over - standard ratio.The result in the test showed that the evaluation result is more reasonable.
出处
《计算机仿真》
CSCD
北大核心
2010年第7期187-190,共4页
Computer Simulation
关键词
水环境评价
模糊综合评价
信息熵
权重
隶属度函数
Water environment assessment
Fuzzy comprehensive evaluation
Information entropy
Weight
Membership function
