Business scenario design support by qualitative-quantitative hybrid simulation

Masaki Samejima, Masanori Akiyoshi, Koshichiro Mitsukuni, Norihisa Komoda

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - 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
Pages401-408
Number of pages8
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event9th 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 232007 Jul 26

Other

Other9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
CityTokyo
Period07/7/2307/7/26

Fingerprint

Industry
Monte Carlo simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Computer Networks and Communications

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 proceedingConference 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
Samejima, Masaki ; Akiyoshi, Masanori ; Mitsukuni, Koshichiro ; Komoda, Norihisa. / Business scenario design support by qualitative-quantitative hybrid simulation. 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. pp. 401-408
@inproceedings{1a85d839434b43658e821fb30842bc61,
title = "Business scenario design support by qualitative-quantitative hybrid simulation",
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.",
author = "Masaki Samejima and Masanori Akiyoshi and Koshichiro Mitsukuni and Norihisa Komoda",
year = "2007",
doi = "10.1109/CEC-EEE.2007.24",
language = "English",
isbn = "0769529135",
pages = "401--408",
booktitle = "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",

}

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

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 -