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

^*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	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
ページ	401-408
ページ数	8
DOI	https://doi.org/10.1109/CEC-EEE.2007.24
出版ステータス	Published - 2007
外部発表	はい
イベント	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 継続期間: 2007 7月 23 → 2007 7月 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

コンピュータサイエンス（全般）
コンピュータネットワークおよび通信

文献へのアクセス

10.1109/CEC-EEE.2007.24

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引用スタイル

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 その他.
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.

研究成果: 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

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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.",

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AU - Akiyoshi, Masanori

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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.

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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

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Y2 - 23 July 2007 through 26 July 2007

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Business scenario design support by qualitative-quantitative hybrid simulation

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