正在加载图片...
第2期 王龙,等:复杂网络上的群体决策 ·105· 的传播问题,可以和观点动力学有效结合起来,用来 [11]HUMMEL R,MEMBER,MANEVITZ L.A statisti- 考察新观点、新技术、新标准在人类社会中的传播行 cal approach to the representation of uncertainty in be- 为.最后,观点动力学和复杂网络的共同演化将是一 liefs using spread of opinions [J ]IEEE Tranactions on 个很有趣很值得探索的研究方向.针对这个问题,建 System,Man,Cyberneticspart A:System and Hu 立合理的模型,可以刻画不同观点的共存和具有不 mans,1996,26(3):378-384. 同观点的社团共存等现象,能更好地说明观点多样 [12]LEE H S.Aggregation of fuzzy opinions under group 性存在的内在机理.总之,复杂网络上群体决策的研 decision making environment [C]//IEEE International Fuzzy Systems Conference,Melbourne,Australia, 究将会促进复杂性科学的蓬勃发展,同时也具有广 2001:172-175. 泛的应用前景.最重要地,群体决策的研究,将会促 [13]L EE H S.An optimal aggregation method for fuzzy o- 进不同学科的交叉与融合,能更有效地解决复杂性 pinion of group decision [C]//IEEE International Con- 科学中的一些公开难题1o ference on Systems,Man and Cybernetics.Tokyo, 参考文献: 1999:314319. [14]KAIZOJI T,SUZUDO T.Evolutionary model of opin [1 STAUFFER D.Opinion dynamics and sociophysics ion formation [C]//ICCIMA Proceedings of the Fourth EB/OL ][2007-05-07].http://arxiv.org/abs/0705. International Conference on Computational Intelligence 0891v1. and Multimedia Applications.Yokusika,Japan,2001: [2]STAUFFER D.Sociophysics simulations II:opinion dy- 39. namics [C]//AIP Conference Proceedings,Granada, [15]RAMIREZ-CANO D,PITTJ.Follow the leader:Pro- Spain,2005,779:56-68. filing Agents in an opinion formation model of dynamic [3]STAUFFER D,De OLIVEIRA S,De OLIVEIRA confidence and individual mind-sets [C]//Proceedings PMC,et al.Biology,sociology,geology by computa- of the IEEE/WIC/ACM International Conference on In- tional physicists M].Amsterdam:Elsevier,2006. telligent Agent Technology.Hong Kong,China,2006: [4]BILLARI FC,FENT T,PRSKAWETZ A,et al.A- 660667 gent-based computational modeling [M].Heidelberg: [16 ]L EV Y W B,DEL IC H.Maximum entropy aggregation Physicar Verlag,2006. of individual opinions [J ]IEEE Transactions on Sys- [5]JAIN S,MU KAND S.Public opinion and the dynamics tems,Man and Cybernetics,1994,24(4):606-613. of reform [C]//Sixth Jacques Polak Annual Research [17]GREENSTEIN S.Contrasting opinions about conver- Conference Hosted by the International Monetary Fund gence [J ]IEEE Micro Economics,1997,17(5):7-8. Washington.Washington,USA,2005. [18]ONO K,HARAO M,HIRA TA K.Multi-Agent based [6]VALLACHER RR,NOWAK A,MILLER M E.So- modeling and simulation of consensus formations in ar- cial influence and group dynamics [M].New York:Wi- guments [C]//IEEE Proceedings of the Third Interna- ley,2003. tional Conference on Information Technology and Ap- [7]BALDASSARRI D,BEARMAN P.Dynamics of politi- plications,Sydney,Australia,2005:264-267 cal polarization [J ]American Sociological Review, [19]LAN J B,XU Y,LIU J Z.Multiple attributes group 2007,72(5):784811. decision making under fuzzy environment [C]//IEEE [8]BLUME L,DURLAUF S.The economy as an evolving International Conference on Systems Man and Cyber- complex system III [M].Oxford:Oxford University netics..[S.1.].2003:49864991. Press,2004. [20]HSIAO W F,LIN HH,CHANG T M.Value based [9]KRAWIECKI A,HOL YSTJ A,HELBING D.Volatility consensus measure on verbal opinions [C]//Proceed- clustering and scaling for financial time series due to at- ings of the 38th Hawaii International Conference on tractor bubbling [J ]Phys Rev Lett,2002,89(15): System Science,Hawaii,USA,2005:1-6. 158701. [21]MANTEGNA R N,STANL EY H E.An introduction [10]HERRERA-VIEDMA E,MARTINEZ L,MATA F, to Econophysics:correlations and complexity in finance et al.A consensus support system model for group de- M ]Cambridge,England:Cambridge University cisior making problems with multigranular linguistic Press,1999. preference relations [J ]IEEE Transactions on Fuzzy [22]DEFFUANT G,AMBLARD F,WEISBUCH G,et al Systems,2005,13(5):644-658 How can extremism prevail ?a study based on the rela- 1994-2009 China Academic Journal Electronic Publishing House.All rights reserved.http://www.cnki.net的传播问题 ,可以和观点动力学有效结合起来 ,用来 考察新观点、新技术、新标准在人类社会中的传播行 为. 最后 ,观点动力学和复杂网络的共同演化将是一 个很有趣很值得探索的研究方向. 针对这个问题 ,建 立合理的模型 ,可以刻画不同观点的共存和具有不 同观点的社团共存等现象 ,能更好地说明观点多样 性存在的内在机理. 总之 ,复杂网络上群体决策的研 究将会促进复杂性科学的蓬勃发展 ,同时也具有广 泛的应用前景. 最重要地 ,群体决策的研究 ,将会促 进不同学科的交叉与融合 ,能更有效地解决复杂性 科学中的一些公开难题[100 ] . 参考文献 : [ 1 ] STAUFFER D. Opinion dynamics and sociophysics [ EB/ OL ]. [ 2007205207 ]. http :/ / arxiv. org/ abs/ 0705. 0891v1. [2 ] STAU FFER D. Sociophysics simulations II: opinion dy2 namics [ C ]/ / AIP Conference Proceedings , Granada , Spain ,2005 , 779 : 56268. [ 3 ] STAU FFER D , De OL IVEIRA S , De OL IV EIRA PMC , et al. Biology , sociology , geology by computa2 tional physicists [ M ]. Amsterdam : Elsevier , 2006. [4 ] BILLARI FC , FEN T T , PRSKAWETZ A , et al. A2 gent2based computational modeling [ M ]. Heidelberg : Physica2Verlag , 2006. [5 ] J AIN S , MU KAND S. Public opinion and the dynamics of reform [ C]/ / Sixth J acques Polak Annual Research Conference Hosted by the International Monetary Fund Washington. Washington ,USA ,2005. [6 ] VALLACHER R R , NOWA K A , MILL ER M E. So2 cial influence and group dynamics [ M]. New York : Wi2 ley , 2003. [7 ] BALDASSARRI D , BEARMAN P. Dynamics of politi2 cal polarization [J ]. American Sociological Review , 2007 , 72 (5) :7842811. [8 ] BLUME L , DURLAU F S. The economy as an evolving complex system III [ M ]. Oxford : Oxford University Press , 2004. [9 ] KRAWIECKI A , HOL YST J A , HELBING D. Volatility clustering and scaling for financial time series due to at2 tractor bubbling [J ]. Phys Rev Lett , 2002 , 89 (15) : 158701. [10 ] HERRERA2VIEDMA E , MARTIN EZ L , MA TA F , et al. A consensus support system model for group de2 cision2making problems with multigranular linguistic preference relations [J ]. IEEE Transactions on Fuzzy Systems , 2005 , 13 (5) : 6442658. [11 ] HUMMEL R , MEMBER , MAN EVITZ L. A statisti2 cal approach to the representation of uncertainty in be2 liefs using spread of opinions [J ]. IEEE Tranactions on System , Man , Cybernetics2part A : System and Hu2 mans , 1996 , 26 (3) : 3782384. [12 ]L EE H S. Aggregation of fuzzy opinions under group decision making environment [C]/ / IEEE International Fuzzy Systems Conference , Melbourne , Australia , 2001 : 1722175. [13 ]L EE H S. An optimal aggregation method for fuzzy o2 pinion of group decision [C]/ / IEEE International Con2 ference on Systems , Man and Cybernetics. Tokyo , 1999 : 3142319. [14 ] KAIZOJ I T , SUZUDO T. Evolutionary model of opin2 ion formation [C]/ / ICCIMA Proceedings of the Fourth International Conference on Computational Intelligence and Multimedia Applications. Yokusika ,J apan , 2001 : 39. [15 ]RAMIREZ2CANO D , PITT J. Follow the leader : Pro2 filing Agents in an opinion formation model of dynamic confidence and individual mind2sets [ C]/ / Proceedings of the IEEE/ WIC/ ACM International Conference on In2 telligent Agent Technology. Hong Kong ,China , 2006 : 6602667. [16 ]L EV Y W B , DEL IC H. Maximum entropy aggregation of individual opinions [J ]. IEEE Transactions on Sys2 tems ,Man and Cybernetics , 1994 , 24 (4) : 6062613. [17 ] GREENSTEIN S. Contrasting opinions about conver2 gence [J ]. IEEE Micro Economics , 1997 , 17 (5) : 728. [ 18 ]ONO K , HARAO M , HIRA TA K. Multi2Agent based modeling and simulation of consensus formations in ar2 guments [C]/ / IEEE Proceedings of the Third Interna2 tional Conference on Information Technology and Ap2 plications , Sydney ,Australia ,2005 : 2642267. [19 ]LAN J B , XU Y, L IU J Z. Multiple attributes group decision making under fuzzy environment [ C]/ / IEEE International Conference on Systems Man and Cyber2 netics. [ S. l. ]. 2003 : 498624991. [20 ] HSIAO W F , L IN H H , CHAN G T M. Value2based consensus measure on verbal opinions [ C]/ / Proceed2 ings of the 38th Hawaii International Conference on System Science , Hawaii ,USA , 2005 : 126. [21 ]MAN TEGNA R N , STANL EY H E. An introduction to Econophysics: correlations and complexity in finance [ M ]. Cambridge , England : Cambridge University Press , 1999. [22 ]DEFFUAN T G, AMBLARD F , WEISBUCH G, et al. How can extremism prevail ? a study based on the rela2 第 2 期 王 龙 ,等 :复杂网络上的群体决策 ·105 ·
<<向上翻页向下翻页>>
©2008-现在 cucdc.com 高等教育资讯网 版权所有