Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory
Yunxue Song, Qingmin Meng
2024
Abstract
For the decision problem of civil aviation emergency transport task, a solution of civil aviation emergency transport group decision model based on prospect-regret theory is proposed.First of all, on the basis of considering civil aviation transport mission uniqueness superposition decision makers using airport emergency support ability, flight time, assembly time, flight cost as attribute value to evaluate the aviation emergency transport scheme, by calculating the cumulative prospect value and regret theory of different scheme regret joy value, combined with the expert weight to regret joy value weighted calculate comprehensive utility value, and the comprehensive utility value is the best solution. Using this approach can provide a more comprehensive reference for air transport in states of emergency.
DownloadPaper Citation
in Harvard Style
Song Y. and Meng Q. (2024). Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory. In Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS; ISBN 978-989-758-715-3, SciTePress, pages 75-81. DOI: 10.5220/0012880600004536
in Bibtex Style
@conference{dmeis24,
author={Yunxue Song and Qingmin Meng},
title={Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory},
booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},
year={2024},
pages={75-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012880600004536},
isbn={978-989-758-715-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS
TI - Research on Group Decision Model of Civil Aviation Emergency Transport Based on Foreground Regret Theory
SN - 978-989-758-715-3
AU - Song Y.
AU - Meng Q.
PY - 2024
SP - 75
EP - 81
DO - 10.5220/0012880600004536
PB - SciTePress