基于RS-PSO-BP的煤炭资源采矿权案例估价模型  

Case Evaluation Model of Coal Resources Mining Rights Based on RS-PSO-BP Methods

作　　者：邹绍辉[1,2] 张甜[1] Z0U Shao-hu;ZHANG Tian(School of Management,Xi'an Uniyersity of Science and Technology,Xi'an 710054,China;Energy Economy and Management Research Center,Xi'an University of Science and Technology,Xi'an 710054,China)

机构地区：[1]西安科技大学管理学院,西安710054 [2]西安科技大学能源经济与管理研究中心,西安710054

出　　处：《煤炭技术》2018年第12期350-353,共4页Coal Technology

基　　金：国家自然科学基金(71273207);陕西省科学技术研究发展计划项目(2011kjxx54);陕西省留学人员科技活动择优资助项目

摘　　要：案例估价方法下的煤炭资源采矿权评估价格最接近煤炭资源采矿权的市场交易价格.因此案例估价方法能让煤炭生产企业在公开的市场上以公平的价格获得资源。首先,构建起煤炭资源采矿权的属性指标集,运用粗糙集理论(RS)对属性指标进行约简处理。然后,建立基于BP神经网络的煤炭资源采矿权案例估价模型。最后,运用粒子群算法(PSO)对模型参数进行优化。研究结果表明:煤炭资源采矿权估价值与实际交易价格较为接近,模型运用的效率明显得以提升。The evaluation price of coal resources mining right is closest to the market transaction price of coal resources mining rights under the case evaluation method,so the case evaluation method can make coal production enterprises obtain resources at a fair price in the open market.Firstly,the attribute index set of coal mining rights is constructed,and the attribute index is reduced by using RS theory.Then,a case evaluation model of coal resources mining rights based on BP neural network is established.The PSO algorithm is used to optimize the model parameters.The application results show that:the estimated value of mining rights of coal resources is close to the actual transaction price;the efficiency of model application is obviously improved.

关 键 词：煤炭资源 采矿权 粒子群算法 粗糙集理论 案例推理 

分 类 号：F426[经济管理—产业经济]