期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：2
页码：27
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：If System Dynamics (SD) models are constructed based solely on decision makers' mental models and understandingof the context subject to study, then the resulting systems must necessarily bear some degree ofdeficiency due to the subjective, limited, and internally inconsistent mental models which led to the conceptionof these systems. As such, a systematic method for constructing SD models could be essentially helpfulin overcoming the biases dictated by the human mind's limited understanding and conceptualization ofcomplex systems. This paper proposes a novel combined method to support SD model construction. Theclassical Decision Making Trial and Evaluation Laboratory (DEMATEL) technique is used to define causalrelationships among variables of a system, and to construct the corresponding Impact Relation Maps(IRMs). The novelty of this paper stems from the use of the resulting total influence matrix to derive thesystem dynamic's Causal Loop Diagram (CLD) and then define variable weights in the stock-flow chartequations. This new method allows to overcome the subjectivity bias of SD modeling while projecting DEMATELin a more dynamic simulation environment, which could significantly improve the strategic choicesmade by analysts and policy makers.
关键词：System Dynamics modeling; DEMATEL; decision making methods; decision support systems.
