共被期刊论文引用了3次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 基于Cobb-Douglas效用函数的多属性采购拍卖显示文摘在多属性采购拍卖的实践中,利润和赢得合同对供给者来说具有不同的重要性.假设供给者使用Cobb-Douglas效用函数对利润和赢得合同的重要性程度进行权衡,在第一评分拍卖及第二评分拍卖下获得了供给者的均衡投标策略和采购者的期望效用,并对采购者的期望效用进行了比较.结果表明供给者对被采购物品的质量选择只与自己的成本参数和打分函数有关;当供给者越看重获取采购合同,采购者的期望效用越高;当采购者只能使用效用函数打分时,如果供给者更看重利润,采购者应该采用第二评分拍卖节约采购成本,否则使用第一评分拍卖. | 李军 刘树林 | 2012 | 管理科学学报2012，15，3： | 16 |
| 2 | 多属性招标拍卖中买卖双方的最优策略研究显示文摘电子采购或招标拍卖中单个买方作为招标人且多个卖方作为竞标人,考虑这种环境下的多属性密封投标机制中买卖双方的最优拍卖策略问题.首先,针对买卖双方的效用函数的形式提出了一个更具一般性的多属性拍卖模型.模型中假定买方的价值函数针对不同的非价格属性具有不同的函数形式,卖方的成本函数具有非线性形式.其次,在此模型的基础上分别给出第一评分密封投标机制下买方和卖方的最优拍卖策略.最优策略为卖方提供了参拍物品的价格属性和非价格属性的最优配置方法,为买方提供了根据其关于非价格属性的真实偏好确定评分规则属性权重的依据.然后,从买卖双方不同的角度对拍卖结果进行了比较和分析,重点分析了影响买方在评分规则中隐藏真实偏好行为的相关因素.最后,在假设模型的基础上对竞标人数的增加会激励买方在拍卖中公布真实偏好的结论给出了证明. | 洪宗友 汪定伟 | 2014 | 系统工程学报2014，29，4： | 9 |
| 3 | Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models显示文摘The flood hazard management is one of the major challenges in the floodplain regions worldwide.With the rise in population growth and the spread of infrastructural development,the level of risk has increased over time.Therefore,the prediction of flood susceptible area is a key challenge for the adoption of management plans.Flood susceptibility modeling is technically a common work,but it is still a very tough job to validate flood susceptible models in a very rigorous and scientific manner.Therefore,the present work in the Atreyee River Basin of India and Bangladesh was planned to establish artificial neural network(ANN),radial basis function(RBF),random forest(RF)and their ensemble-based flood susceptibility models.The flood susceptible models were constructed based on nine flood conditioning parameters.The flood susceptibility models were validated in a conventional way using the receiver operating curve(ROC).To validate the flood-susceptible models,a two dimensional(2D)hydraulic flood simulation model was developed.Also,the index of flood vulnerability model was developed and applied for validating the flood susceptible models,which was a very unique way to validate the predictive models.Friedman test and Wilcoxon Signed rank test were employed to compare the generated flood susceptible models.Results showed that 11.95%-12.99%of the entire basin area(10188.4 km^(2))comes under very high flood-susceptible zones.Accuracy evaluation results have shown that the performance of ensemble flood susceptible models outperforms other standalone machine learning models.The flood simulation model and IFV model were also spatially adjusted with the flood susceptibility models.Therefore,the present study recommended for the ensemble flood susceptibility prediction and IFV based validation along with conventional ways. | Susanta Mahato Swades Pal Swapan Talukdar Tamal Kanti Saha Parikshit Mandal | 2021 | Geoscience Frontiers2021，12，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员