Meta-synthesis Knowledge System

2010 ◽  
Vol 1 (1) ◽  
pp. 58-72 ◽  
Author(s):  
Gu Jifa

Meta-synthesis knowledge system (MSKS) is based on the meta-synthesis system approach and knowledge science. This article introduces the basic theory of meta-synthesis knowledge system like DMTMC system, model integration, opinion synthesis, consensus building and expert mining. Similar MSKS systems are illustrated. Case studies and examples are also explored in this article.

Author(s):  
Gu Jifa

Meta-synthesis knowledge system (MSKS) is based on the meta-synthesis system approach and knowledge science. This article introduces the basic theory of meta-synthesis knowledge system like DMTMC system, model integration, opinion synthesis, consensus building and expert mining. Similar MSKS systems are illustrated. Case studies and examples are also explored in this article.


2018 ◽  
Author(s):  
Abe Hudson ◽  
Ron Kratzke ◽  
Jason Baker

2007 ◽  
Vol 06 (03) ◽  
pp. 559-572 ◽  
Author(s):  
JIFA GU ◽  
XIJIN TANG

Meta-synthesis system approach (MSA) is proposed to tackle with open complex giant systems (OCGS) problems by Chinese system scientists since the late 1980s. Its essential idea can be simplified as from confident qualitative hypothesis to vigorous quantitative validation. To apply this approach, the synthesis of human expert opinions and emergent knowing, machines' powerful computing capacity and the available knowledge and cases are specifically emphasized from the perspective of systems engineering practice. Then the MSA practice may bring new understandings, knowledge and even paradigms about messy and unknown issues, which are under exploration in knowledge science research. In this paper, MSA to knowledge science is addressed. After brief introduction of meta-synthesis approach, a working flow of MSA during problem solving process is addressed and leads to meta-synthetic view toward knowledge science, especially on knowledge creation. Next comes brief introduction to a test for demonstrating the MSA to a macroeconomic problem, which shows a new paradigm to macroeconomic problem solving, a kind of knowledge creation which is different from general macroeconomic problem solving.


2018 ◽  
Vol 23 (1) ◽  
pp. 125-154 ◽  
Author(s):  
Timea Spitka

AbstractThe conditions under which multilateral international intervention are effective in ending a violent conflict is a critical question for scholars and practitioners. Scholarly studies have demonstrated the importance of a united intervention but have been in disagreement over the effectiveness of neutral versus partisan intervention. This article examines the conditions under which mediators construct a consensus on the type of intervention process. What are the factors that enable a consensus on a neutral versus a partisan intervention? Distinguishing between four types of international intervention processes – united-neutral, united-partisan, divided-partisan, and divided neutral and partisan intervention – this article argues that it is a united intervention, whether united partisan or united-neutral, that contributes to creating leverage on conflicting parties to end a conflict. The article examines consensus building among mediators within two divergent case studies: Northern Ireland and Bosnia and Herzegovina.


Author(s):  
Daniel Svensson ◽  
Johan Malmström ◽  
Peter Pikosz ◽  
Johan Malmqvist

Abstract This paper presents a framework for modelling and analysing complex Engineering Information Management systems (EIM systems1). Using the framework, a “holistic” model of an EIM system is constructed by four basic interrelated aspect models, respectively describing the process, the information, the role and the computer systems aspects of the EIM system. The framework further provides several methods for analysing the aspect models and the relationships between the models. The paper shows one example of such an EIM system model and discusses results from case studies in which the framework has been applied.


Sign in / Sign up

Export Citation Format

Share Document