【作者】 赵小勇； 崔广柏； 付强；

【Author】 ZHAO Xiao-yong~1 CUI Guang-bai~1 FU qiang~2 (1.Water Resources and Environment College,Hohai University,Nanjing,Jiangsu 210024,China; 2.Hydraulic & Architecture College,Northeast Agricultural University,Harbin,Heilongjiang 150030,China)

【机构】 河海大学水资源环境学院； 东北农业大学水利与建筑学院；

【摘要】 鉴于小流域治理效益评价中各指标的不确定性和模糊性,为了解决各单项小流域治理效益指标评价结果的不相容问题,提高小流域治理效益评价模型的分辨率,提出了一种有效的和通用的模型——投影寻踪分类模型。采用基于实码加速遗传算法寻找最优的投影方向,同时用最佳投影方向信息研究了各评价指标对小流域治理效益的影响水平,取得了符合客观实际的分类结果,为小流域治理治理提供了决策依据。更多还原

【Abstract】 In view of the uncertainty of indexes for benefit evaluating harness of small watershed,in order to test the rationality of the criteria in benefit evaluating harness of small watershed,to resolve the incompatibility of the results of benefit evaluating harness of small watershed indexes,and to raise the distinguishment of the model of benefit evaluating harness of small watershed,an effective and general model-Projection Pursuit Classification model is suggested.It adopts Real Coding based on Accelerating Genetic Algorithm to find the best projective direction,at the same time,uses the datum of the best projective direction to research the level of the influence of each factor to harness of small watershed,the classification results which accord with the fact are gained,which provide the decision proof of harness of small watershed.更多还原