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
Link To Document :
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