基于随机层次分析法的虚拟企业风险评价

卢福强, 薛岩松

卢福强, 薛岩松. 基于随机层次分析法的虚拟企业风险评价[J]. 信息与控制, 2012, 41(1): 110-116.
引用本文: 卢福强, 薛岩松. 基于随机层次分析法的虚拟企业风险评价[J]. 信息与控制, 2012, 41(1): 110-116.
LU Fuqiang, XUE Yansong. Stochastic Analytic Hierarchy Process Based Risk Evaluation for Virtual Enterprise[J]. INFORMATION AND CONTROL, 2012, 41(1): 110-116.
Citation: LU Fuqiang, XUE Yansong. Stochastic Analytic Hierarchy Process Based Risk Evaluation for Virtual Enterprise[J]. INFORMATION AND CONTROL, 2012, 41(1): 110-116.

基于随机层次分析法的虚拟企业风险评价

基金项目: 教育部人文社会科学研究规划基金资助项目(09YJA880100)
详细信息
    作者简介:

    卢福强(1980- ),男,博士,讲师.研究领域为虚拟企业风险管理,智能算法设计.
    薛岩松(1964- ),男,博士,研究员.研究领域为教育经济与管理.

    通讯作者:

    卢福强, fuqiang_lu@126.com

  • 中图分类号: F272.3

Stochastic Analytic Hierarchy Process Based Risk Evaluation for Virtual Enterprise

  • 摘要: 分析虚拟企业风险因素的层次结构以及量化评价中的不确定性,设计了随机层次分析法(SAHP)来对其风险进行评价.在随机层次分析法中,将专家咨询法过程中的不确定性描述为随机变量,得到随机判断矩阵.进而应用随机模拟方法确定随机判断矩阵中元素的估计值.运用随机层次分析法对某虚拟企业三个备选组建方案的风险评价进行了实证分析,阐明该方法对于多指标、不确定性的最优方案选择问题是一种科学、可行的方法.
    Abstract: The hierarchy structure of virtual enterprise(VE) risk factors and the uncertainty in its quantitative evaluation are analyzed,and a stochastic analytic hierarchy process(SAHP) is designed to evaluate VE risk.For SAHP,the uncertainties in the process of expert consultative method are described by random variables,and a random judgment matrix is built.The stochastic simulation method is applied to estimating value of the elements in the random judgment matrix.The SAHP is employed to evaluate the risk of three optional organizing plans for VE,and the SAHP is illustrated as a scientific and practicable method for selecting optimal plan problem with multi-index and uncertainty.
  • [1] Ip W H,Huang M,Yung K L,et al.Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise[J].Computers & Operations Research,2003,30(2):213-231.   doi: 10.1016/S0305-0548(01)00092-2
    [2] 卢福强,黄敏,王兴伟.虚拟企业风险管理的组织化分布式决策模型[J].系统工程学报,2009,24(6):694-700.Lu F Q,Huang M,Wang X W.Organizational distributed decision making model for risk management of virtual enterprise[J].Journal of Systems Engineering,2009,24(6):694-700.
    [3] 裴菁,汪定伟.动态联盟中多方案伙伴挑选问题的软计算算法[J].系统工程学报,2002,17(2):121-125.Pei J,Wang D W.Soft computing method for multi-plan in partnet selection of dynamic alliances[J].Journal of Systems Engineering,2002,17(2):121-125.
    [4] 李向阳,王颜新,项同德.虚拟企业组建模型化的框架[J].管理科学,2003,16(2):18-21.Li X Y,Wang Y X,Xiang T D.A modeling framework for virtual enterprise construction[J].Management Science in China,2003,16(2):18-21.
    [5] 卢福强,黄敏,王兴伟.虚拟企业风险管理的机会约束规划模型及算法[J].信息与控制,2009,38(4):399-405.Lu F Q,Huang M,Wang X W.Chance--constraint programming model and algorithm for risk management of virtual enterprise[J].Information and Control,2009,38(4):399-405.
    [6] 韩伯棠.管理运筹学[M].北京:高等教育出版社,2009.Han B T Management operation research[M].Beijing:Higher Education Press,2009.
    [7] 刘晓君,孟凡文.模糊层次分析法在房地产投资风险评价中的应用[J].西安建筑科技大学学报:自然科学版,2005,37(1):135-137.Liu X J,Meng F W.Application of AHP-fuzzy method in the appraisal of the risk of real estate investment[J].Journal of Xi'an University of Architecture & Technology:Natural Science Edition,2005,37(1):135-137.
    [8] Huang M,Ip W H,Yang H M,et al.A fuzzy synthetic evaluation embedded tabu search for risk programming of virtual enterprises[J].International Journal of Production Economics,2008,116(1):104-114.  
    [9] Yang Z Q,Lin H.Assessment of knowledge shared risk in virtual enterprise based on modified analytic hierarchy process[C]//Proceedings of the 2008 IEEE International Conference on Information and Automation.Piscataway,NJ,USA:IEEE,2008:20-23.
    [10] 余鲲鹏,郭东强.虚拟企业知识共享风险的模糊综合评价[J].科技管理研究,2009(6):119-121.Yu K P,Guo D Q.A fuzzy synthetic evaluation for knowledge sharing risk in virtual enterprise[J].Science and Technology Management Research,2009(6):119-121
    [11] 刘宝碇,赵瑞清.随机规划与模糊规划[M].北京:清华大学出版社,1998.Liu B D,Zhao R Q.Stochastic programming and fuzzy programming[M].Beijing:Tsinghua University Press,1998.
    [12] Liu Y K,Liu B D.A class of fuzzy random optimization:Expected value models[J].Information Sciences,2003,155(1/2):89-102.
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出版历程
  • 收稿日期:  2010-12-02
  • 发布日期:  2012-02-19

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