Business scenario design support by qualitative-quantitative hybrid simulation

Masaki Samejima; Masanori Akiyoshi; Koshichiro Mitsukuni; Norihisa Komoda

doi:10.1109/CEC-EEE.2007.24

Business scenario design support by qualitative-quantitative hybrid simulation

Masaki Samejima^*, Masanori Akiyoshi, Koshichiro Mitsukuni, Norihisa Komoda

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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	https://doi.org/10.1109/CEC-EEE.2007.24
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

ASJC Scopus subject areas

Computer Science(all)
Computer Networks and Communications

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10.1109/CEC-EEE.2007.24

Cite this

Samejima, M., Akiyoshi, M., Mitsukuni, K., & Komoda, N. (2007). Business scenario design support by qualitative-quantitative hybrid simulation. In 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 (pp. 401-408). [4285239] https://doi.org/10.1109/CEC-EEE.2007.24

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

Samejima, M, Akiyoshi, M, Mitsukuni, K & Komoda, N 2007, Business scenario design support by qualitative-quantitative hybrid simulation. in 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., 4285239, pp. 401-408, 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, 07/7/23. https://doi.org/10.1109/CEC-EEE.2007.24

Samejima M, Akiyoshi M, Mitsukuni K, Komoda N. Business scenario design support by qualitative-quantitative hybrid simulation. In 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 https://doi.org/10.1109/CEC-EEE.2007.24

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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.

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Business scenario design support by qualitative-quantitative hybrid simulation

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