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Hybrid simulation on qualitative and quantitative integrated model using Monte Carlo method
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Source
Summer Computer Simulation Conference archive
Proceedings of the 2007 summer computer simulation conference table of contents
San Diego, California
SECTION: Short papers table of contents
Article No. 15  
Year of Publication: 2007
ISBN:1-56555-316-0
Authors
Masaki Samejima  Osaka University
Keisuke Negoro  Osaka University
Masanori Akiyoshi  Osaka University
Norihisa Komoda  Osaka University
Koshichiro Mitsukuni  Hitachi Consulting Co., Ltd.
Sponsor
SCS : Society for Modeling and Simulation International
Publisher
Society for Computer Simulation International  San Diego, CA, USA
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ABSTRACT

We propose a simulation method on qualitative and quantitative hybrid model. In order to evaluate factors of a model with qualitative causal relations, we introduce a statistical approach based on propagation and combination of effects of factors by Monte Carlo simulation. In propagating an effect, we divide a range of a quantitative factor by landmarks and decide an effect to a destination node based on the divided ranges. In combining effects, we deicide an effect of each causal relation using effects ratio and sum all effects. Through applied results to practical models, it is confirmed that there are mostly same between results derived from quantitative relations and results derived from the proposed method at 0.05 alpha-level.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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R. E. Shannon, System Simulation: The Art and Science. New Jersey, USA: Prentice-Hall, 1975.
 
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J. W. Forrester, Industrial Dynamics. Cambridge, USA: MIT Press, 1961.
 
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Collaborative Colleagues:
Masaki Samejima: colleagues
Keisuke Negoro: colleagues
Masanori Akiyoshi: colleagues
Norihisa Komoda: colleagues
Koshichiro Mitsukuni: colleagues