摘要
针对节水灌溉项目投资决策问题 ,采用高维降维技术——投影寻踪分类模型 ( PPC) ,利用基于实数编码的加速遗传算法 ( RAGA)优化其投影方向 ,将多维数据指标 (样本评价指标 )转换到低维子空间 ,根据投影函数值的大小评价出样本的优劣 ,从而做出决策 .最大限度避免了模糊综合评判中权重矩阵取值的人为干扰 ,取得了满意效果 ,为节水灌溉项目投资决策及其它评判决策问题提供一条新的方法与思路 .
Through applying PPC model based on RAGA in the investment decision-making of water saving irrigation project, the authors turn multi-dimension data into low dimension space. So the optimum projection direction can stand for the best influence to the collectivity. Thus, the value of projection function can evaluate each item good or not. The PPC model can avoid jamming of weight matrix in the method of fuzzy synthesize judgement, and obtain better result. The authors want to provide a new method and thought for readers who engaged in investment decision-making of water saving irrigation and other relative study.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2003年第2期139-144,共6页
Systems Engineering-Theory & Practice
基金
中国博士后科学基金 ( 2 0 0 0 )
四川大学校青年基金 ( 432 0 2 8)
