摘要
在总结前人研究成果的基础上引入遗传算法。该算法是一种改进后的客观确权法,它避免了其他客观分析方法的限制性因素,通过设定不同的目标,不断优化对数据集的拟合,找到因素之间的相互关系以及权重排序。遗传算法能够挖掘出同一地块的最优权重组合,发现单一因素对地价高低的影响变化趋势,从而划分因素所属的类型。实例验证了该方法的可行性和科学性,取得了很好的效果。
There are many factors in land grading. It is very significative to determine the weights of factors. The traditional methods include the subjective and objective judgment. This paper proposes a genetic algorithm at the basic of concluding the research achievement of our predecessors. It over comes limiting factor of other methods, finds relationships and sequence of weighted by optimizing to fit the data sets based on setting up different targets. Genetic algorithm can dig up optimum weight sets of one field and find trends of one factor with the change of land-value in order to gain the classification of grading factors. This paper presents implementation steps of the method, verifies the feasible and scientific significance by examples, and achieves good results.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第2期240-243,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40871179)
中国科学院研究生科技创新与社会实践资助项目
关键词
土地定级
权重
遗传算法
land grading
weight
genetic algorithm
