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。
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.
出处
《水资源保护》
CAS
2009年第2期5-9,共5页
Water Resources Protection
基金
国家重点基础研究发展计划(973计划)(CB200241230)
国家自然科学基金(5077904250679047)
关键词
集对分析
联系度
遗传算法
富营养化评价
set pair analysis
connection degree
genetic algorithm
eutrophication assessment
