基于遗传集对分析的空气环境质量评价

集对分析是针对确定与不确定问题进行定量分析的一种方法,而表征差异度系数i的取值,一直没有确定的方法,即使在确定了同一度、差异度、对立度之后,整个联系数仍因i的不确定取值而呈现既确定又不确定的特征。文章将遗传算法应用于联系数表达式中i值的优化求解,使得联系数确定化,并结合实例对空气环境质量进行评价,评价结果与用其它方法评价结果比较表明该方法的可行性。

Air Environment Quality Assessment Based on Set Pair Analysis Combined with Genetic Algorithm

Set pair analysis is a theory of quantitative analysis for certain and uncertain issues,but different degree coefficient ———"i"is uncertain. In fact,connection number is still indeterminable because of the uncertain of"i",even though identical degree,different degree and counter degree of connection number have been ascertained. It was suggested that the connection number is ultimately certain by using genetic algorithm to optimize "i",and the method of set pair analysis combined with genetic algorithm could be proposed to evaluate air environment quality. The results of assessment shows the method is a feasible solution comparing to other assessment results.