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多损失WCVaR模型的等价性定理
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  • 英文篇名:General equivalence problem of multi-loss WCVaR
  • 作者:徐蕾艳 ; 孟志青
  • 英文作者:XU Leiyan;MENG Zhiqing;College of Economics and Management, Zhejiang University of Technology;Zhejiang University of Finance& Economics;
  • 关键词:多目标条件风险值 ; MWCVaR ; 概率分布簇 ; 等价优化定理
  • 英文关键词:multi-objective conditional value at risk;;MWCVaR;;probability distribution cluster;;equivalent optimization theorem
  • 中文刊名:YCXX
  • 英文刊名:Operations Research Transactions
  • 机构:浙江工业大学经贸管理学院;浙江财经大学;
  • 出版日期:2018-12-15
  • 出版单位:运筹学学报
  • 年:2018
  • 期:v.22
  • 基金:浙江省自然科学基金(No.LY15G010007)
  • 语种:中文;
  • 页:YCXX201804004
  • 页数:12
  • CN:04
  • ISSN:31-1732/O1
  • 分类号:49-60
摘要
研究了多概率分布簇下的多损失下的WCVaR (Multi Worst Conditional Valueat-Risk)模型等价性定理,根据概率分布簇的VaR测度值,定义了多损失下的WCVaR风险测度值和对应的多目标优化模型(MWCVaR),证明了多目标优化模型(MWCVaR)等价另一个多目标优化模型求解.对于有限分布簇情形,在一定条件下,证明了用有限个分布簇就可以近似计算多损失(MWCVaR)优化模型.
        Under multi-probability distribution cluster, equivalence of multi-loss WCVaR(Worst Conditional Value-at-Risk, MCVaR) problem is studied. According to the VaR measure under multi-probability distribution cluster, the multi-objective optimization problem(MWCVaR) is defined by the WCVaR risk measurement. It is proved that the optimization problem(MWCVaR) is equivalent to solve another multi-objective optimization problem. In the case of a finite distributions cluster, under certain conditions, we prove that the Pareto effective solution of the problem(MWCVaR) can be approximated by a finite distributions cluster.
引文
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