加权证据权模型的应用与对比

证据权方法是目前最常用的信息综合方法之一，广泛应用于矿产资源定量预测与评价.然而，它要求变量间相互独立，地质上很难满足这一条件.如何削弱条件不独立对证据权预测结果的影响，已成为当前数学地球科学研究的热点.解决该问题的途径之一是对传统证据权模型进行校正，比如采取加权的方法对原证据权模型计算的证据权重进行修正，以便消除非条件独立性的影响.对近期提出的多种加权证据权模型进行了系统的对比研究，基于同样的应用实例和实验方案，对不同方法的应用效果进行了比较，结果表明，各种加权证据权模型均可不同程度地削弱证据图层条件不独立性的影响，其中，基于逻辑回归的加权证据权模型优于其他加权方法. 

Application and Comparison of Weighted Weights of Evidence Models

Weights of evidence (WofE) is one of the most widely used methods in prediction and evaluation of mineral resources. It requires the independence of geological variables. However, it is almost impossible to meet the requirement among geological variables. The study of reducing the influence of the independence of variables has become a hot topic. One way to solve the problem is to modify the traditional WofE model such as modifying the weights of each evidential layer by calculating correction factor. In this study, some weighted WofE models proposed in recent years are systematically studied, i.e., the same data of case and the same test program are used to compare these models. The results illustrate that weighted WofE models can reduce the influence of dependence among variables to some extent, and the weighted WofE model based on logistic regression performs better than others.