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Meta-synthesis approach to complex system modeling
Gu, JF; Tang, XJ
2005-11-01
发表期刊EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
ISSN0377-2217
卷号166期号:3页码:597-614
摘要Meta-synthesis method is proposed to tackle with open complex giant system problems which cannot be effectively solved by traditional reductionism methods by a Chinese system scientist Qian, Xuesen (Tsien HsueShen) around the early 1990s. The method emphasizes the synthesis of collected information and knowledge of various kinds of experts, and combining quantitative methods with qualitative knowledge. Since then, continuous endeavors have been taken to put those ideas into practice. In this paper, firstly we review meta-synthesis approach and other research relevant to complex system modeling briefly. Then we discuss two main issues, model integration and opinion synthesis, which are often confronted when applying meta-synthesis approach, together with an exhibit of the development of an embryonic meta-synthetic support prototype. Such a demonstration shows how to model complex problems, such as macroeconomic problems in Hall for Workshop on Meta-Synthetic Engineering with versatile resources in information collection, model integration and opinion synthesis. Finally, some future work is indicated. (c) 2004 Elsevier B.V. All rights reserved.
关键词decision support systems meta-synthesis complex system modeling
语种英语
WOS研究方向Business & Economics ; Operations Research & Management Science
WOS类目Management ; Operations Research & Management Science
WOS记录号WOS:000229498000002
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/1420
专题系统科学研究所
通讯作者Tang, XJ
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
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Gu, JF,Tang, XJ. Meta-synthesis approach to complex system modeling[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,2005,166(3):597-614.
APA Gu, JF,&Tang, XJ.(2005).Meta-synthesis approach to complex system modeling.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,166(3),597-614.
MLA Gu, JF,et al."Meta-synthesis approach to complex system modeling".EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 166.3(2005):597-614.
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