Multi-Level Grey Risky Multi-Attribute Decision-Making Method Based on Dynamic Regret Theory

Lili Qian, Guifeng Deng

2022

Abstract

There are some complex decision-making problems with incomplete information and multiple choices in the uncertain environment, in which the decision-makers are more vulnerable to the influence of their emotional psychology. Thus a new method based on dynamic regret theory is introduced in this paper for solving the multi-level risky multi-attribute decision-making problem with general grey numbers (GGNs). First, normalize GGNs and calculate the probability of the combined state to construct the combined decision matrix. Then, the dynamic regret theory is integrated into the grey multi-level decision-making problem by constructing grey dynamic regret function and grey dynamic perceived utility function. Finally, the regret equilibrium set is established and the best scheme is selected according to the comprehensive grey perceived utility value. The model proposed in this paper can solve the multi-level grey risky decision-making problem with the consideration of the regret emotion. It not only complements and perfects the multi-level decision-making method, but also widens the research scope and space of dynamic regret theory.

Paper Citation

in Harvard Style

Qian L. and Deng G. (2022). Multi-Level Grey Risky Multi-Attribute Decision-Making Method Based on Dynamic Regret Theory. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 664-673. DOI: 10.5220/0012012200003612

in Bibtex Style

@conference{isaic22,
author={Lili Qian and Guifeng Deng},
title={Multi-Level Grey Risky Multi-Attribute Decision-Making Method Based on Dynamic Regret Theory},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={664-673},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012012200003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Multi-Level Grey Risky Multi-Attribute Decision-Making Method Based on Dynamic Regret Theory
SN - 978-989-758-622-4
AU - Qian L.
AU - Deng G.
PY - 2022
SP - 664
EP - 673
DO - 10.5220/0012012200003612
PB - SciTePress