• DocumentCode
    2735977
  • Title

    Problem Solving Framework and Case Study in Meta-synthesis Workshop

  • Author

    Zhou, Xiaoji ; Yu, Jingyuan

  • Author_Institution
    Beijing Inst. of Inf. & Control, Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    164
  • Lastpage
    167
  • Abstract
    As meta-synthesis approach is proposed to deal with complex system problem, the problem solving process under the meta-synthesis workshop is of importance. This paper discusses the working process of the meta-synthesis workshop which could be expressed as a three-dimension process consists of problem solving, expert collaboration and knowledge discovery (PS-EC-KD). Then, we propose a framework of meta-synthesis workshop supporting this process. Two practical cases, synthesis process for macro-economy forecast in meta-synthesis workshop, and knowledge system building for Food Price Forecast and Policy-making, are discussed finally.
  • Keywords
    data mining; problem solving; case study; complex system problem; expert collaboration; food price forecast; knowledge discovery; knowledge system building; macroeconomy forecast; metasynthesis workshop; policy making; problem solving framework; three-dimension process; Analytical models; Biological system modeling; Collaboration; Conferences; Predictive models; Problem-solving; Knowledge system; Meta_synthesis; PS-EC-KD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.262
  • Filename
    5614368