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中国农学通报 ›› 2014, Vol. 30 ›› Issue (20): 255-262.doi: 10.11924/j.issn.1000-6850.2013-2102

所属专题: 资源与环境 耕地保护

• 农业科技信息 • 上一篇    下一篇

基于数据信息特征的土地资源评价客观赋权方法的研究

倪广亚 刘学录 李沁汶 郝佳   

  • 收稿日期:2013-08-05 修回日期:2013-09-10 出版日期:2014-07-15 发布日期:2014-07-15

Study of the Objective Weighting Method Based on Data Information in Land Resource Evaluation

  • Received:2013-08-05 Revised:2013-09-10 Online:2014-07-15 Published:2014-07-15

摘要: 目前土地资源评价客观赋权方法种类繁多,而各种赋权方法对同一组指标数据的赋权结果不同,就常见客观赋权方法进行整理和归类,并以甘肃省庄浪县农村居民点整理数据为材料,从客观赋权方法原理出发,基于数据信息特征,引入变异系数、方差膨胀因子,根据指标体系中变异系数均值、方差膨胀因子均值的不同,创造性地构建差异组和相关组,在各指标体系下对赋权方法比较分析。结果表明:(1)利用差异信息赋权的熵权法、变异系数法、均方差法、离差最大化法,熵权法最优;(2)利用差异信息赋权的熵权法和利用重复信息赋权的复相关系数法的赋权结果无趋同性;(3)基于熵权法和复相关系数法的一种组合优化方法。

关键词: 土壤光谱, 土壤光谱, 一阶导数, 荒漠化土地, 民勤

Abstract: Nowadays, quite a lot of objective weighting methods were used in evaluating index, and results of all the methods for the same index data were different, some common objective weighting methods were classified and regulated. Meanwhile, land consolidation evaluation data in Zhuanglang County in Gansu Province were taken as the basic materials. From the principle of objective weighting method, based on characteristics of data information, introducing coefficient of variation (cv) and variance inflation factor (vif), according to mean cv and mean vif in different indicator systems, differential group and related group were created. Under every indicator system, different methods were compared and analyzed. The results showed that: (1) among the method of entropy, variation coefficient, mean square difference and maximizing difference diciding based on different information, the entropy method was best; (2) the results of the entropy method using different information and the multiple coefficient method using repeated information were different; (3) combinational weighting method based on the entropy method and the multiple correlation coefficient method was optimal.