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A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty
BACKGROUND: An emergency response to a medical situation is generally considered to be a risk decision-making problem. When an emergency event occurs, it makes sense to take into account more than one decision maker’s opinions and psychological behaviors. The existing research tends to ignore these...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073827/ https://www.ncbi.nlm.nih.gov/pubmed/35524307 http://dx.doi.org/10.1186/s12911-022-01867-w |
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author | Sun, Jiayi Zhou, Xiang Zhang, Juan Xiang, Kemei Zhang, Xiaoxiong Li, Ling |
author_facet | Sun, Jiayi Zhou, Xiang Zhang, Juan Xiang, Kemei Zhang, Xiaoxiong Li, Ling |
author_sort | Sun, Jiayi |
collection | PubMed |
description | BACKGROUND: An emergency response to a medical situation is generally considered to be a risk decision-making problem. When an emergency event occurs, it makes sense to take into account more than one decision maker’s opinions and psychological behaviors. The existing research tends to ignore these multidimensional aspects. To fill this literature gap, we propose a multi-attribute model. METHODS: The model is based on cumulative prospect theory (CPT), considering multiple experts’ psychological factors. By not assuming full rationality, we extend existing models to allow multiple experts’ risk preferences to be incorporated into the decision-making process in the case of an emergency. Then, traditional CPT is extended by allowing for multiple attributes. In addition, rather than using crisp data, interval values are adopted to tackle the usual uncertainties in reality. RESULTS: The multi-attribute CPT based model proposed can deal with the selection of potential emergency alternatives. The model incorporates interval values to allow more uncertainty and the comparative studies show that the optimal solution changes under different scenarios. CONCLUSIONS: Our illustrative example and comparative study show that considering multiple experts and multiple attributes is more reasonable, especially in complicated situations under an emergency. In addition, decision-makers’ risk preferences highly affect the selection outcomes, highlighting their importance in the medical decision-making process. Our proposed model can be applied to similar fields with appropriate modifications. |
format | Online Article Text |
id | pubmed-9073827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90738272022-05-06 A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty Sun, Jiayi Zhou, Xiang Zhang, Juan Xiang, Kemei Zhang, Xiaoxiong Li, Ling BMC Med Inform Decis Mak Research BACKGROUND: An emergency response to a medical situation is generally considered to be a risk decision-making problem. When an emergency event occurs, it makes sense to take into account more than one decision maker’s opinions and psychological behaviors. The existing research tends to ignore these multidimensional aspects. To fill this literature gap, we propose a multi-attribute model. METHODS: The model is based on cumulative prospect theory (CPT), considering multiple experts’ psychological factors. By not assuming full rationality, we extend existing models to allow multiple experts’ risk preferences to be incorporated into the decision-making process in the case of an emergency. Then, traditional CPT is extended by allowing for multiple attributes. In addition, rather than using crisp data, interval values are adopted to tackle the usual uncertainties in reality. RESULTS: The multi-attribute CPT based model proposed can deal with the selection of potential emergency alternatives. The model incorporates interval values to allow more uncertainty and the comparative studies show that the optimal solution changes under different scenarios. CONCLUSIONS: Our illustrative example and comparative study show that considering multiple experts and multiple attributes is more reasonable, especially in complicated situations under an emergency. In addition, decision-makers’ risk preferences highly affect the selection outcomes, highlighting their importance in the medical decision-making process. Our proposed model can be applied to similar fields with appropriate modifications. BioMed Central 2022-05-06 /pmc/articles/PMC9073827/ /pubmed/35524307 http://dx.doi.org/10.1186/s12911-022-01867-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sun, Jiayi Zhou, Xiang Zhang, Juan Xiang, Kemei Zhang, Xiaoxiong Li, Ling A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title | A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title_full | A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title_fullStr | A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title_full_unstemmed | A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title_short | A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
title_sort | cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073827/ https://www.ncbi.nlm.nih.gov/pubmed/35524307 http://dx.doi.org/10.1186/s12911-022-01867-w |
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