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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 |
| Pages | 401-408 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 - Tokyo Duration: 2007 Jul 23 → 2007 Jul 26 |
Other
| Other | 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 |
|---|---|
| City | Tokyo |
| Period | 07/7/23 → 07/7/26 |
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ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
Cite this
Business scenario design support by qualitative-quantitative hybrid simulation. / Samejima, Masaki; Akiyoshi, Masanori; Mitsukuni, Koshichiro; Komoda, Norihisa.
Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. 2007. p. 401-408 4285239.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Business scenario design support by qualitative-quantitative hybrid simulation
AU - Samejima, Masaki
AU - Akiyoshi, Masanori
AU - Mitsukuni, Koshichiro
AU - Komoda, Norihisa
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=49949087594&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=49949087594&partnerID=8YFLogxK
U2 - 10.1109/CEC-EEE.2007.24
DO - 10.1109/CEC-EEE.2007.24
M3 - Conference contribution
AN - SCOPUS:49949087594
SN - 0769529135
SN - 9780769529134
SP - 401
EP - 408
BT - Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
ER -