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一种改进的集对分析法在湖泊富营养化评价中的应用
引用本文:邬敏,李祚泳,刘智勇,李大鹏. 一种改进的集对分析法在湖泊富营养化评价中的应用[J]. 水资源保护, 2009, 25(2): 5-9
作者姓名:邬敏  李祚泳  刘智勇  李大鹏
作者单位:成都信息工程学院资源环境系,四川,成都,610225
基金项目:国家重点基础研究发展规划(973计划),国家自然科学基金 
摘    要:将构建的湖泊富营养化评价标准集合和"比较标准"集合组成一个集对,并针对集对分析中联系数表达式的差异度系数i取值的不确定性,采用遗传算法对i的取值进行优化。将优化后的集对分析联系数表达式用于我国若干湖泊富营养化评价,其评价结果与用其他多种方法的评价结果基本一致,亦与湖泊富营养化实况相符合,为i值的确定和湖泊富营养化评价提供了一种可行的方法。

关 键 词:集对分析  联系度  遗传算法  富营养化评价
修稿时间:2009-04-01

Application of improved set pair analysis to assessment of lake eutrophication
WU Min,LI Zuo-yong,LIU Zhi-yong,LI Da-peng. Application of improved set pair analysis to assessment of lake eutrophication[J]. Water Resources Protection, 2009, 25(2): 5-9
Authors:WU Min  LI Zuo-yong  LIU Zhi-yong  LI Da-peng
Affiliation:( College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China)
Abstract:A set pair was established composing a set of assessed standards of eutrophication and a set of comparison standards. As the discrepancy coefficient i in the connection number formula of set pair analysis (SPA) is indeterminate, it was optimized with a genetic algorithm (GA). The optimized connection number formula was applied to assess the eutrophication of some lakes in China. The results of the assessments, which correspond with the real conditions, are almost consistent with those obtained by other assessment methods. It is concluded that the new method is feasible for the determination of the discrepancy coefficient i and lake eutrophication assessment.
Keywords:set pair analysis  connection degree  genetic algorithm  eutrophication assessment
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