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Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic
Completing the Pythagorean fuzzy preference relations (PFPRs) based on additive consistency may exceed the defined domain. Therefore, we develop a group decision-making (GDM) method with incomplete PFPRs. Firstly, sufficient conditions for the expressibility of estimated preference values in PFPRs b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764829/ https://www.ncbi.nlm.nih.gov/pubmed/36570381 http://dx.doi.org/10.1016/j.eswa.2022.119445 |
_version_ | 1784853355664769024 |
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author | Zhang, Zhenyu Zhang, Huirong Zhou, Lixin Qin, Yong Jia, Limin |
author_facet | Zhang, Zhenyu Zhang, Huirong Zhou, Lixin Qin, Yong Jia, Limin |
author_sort | Zhang, Zhenyu |
collection | PubMed |
description | Completing the Pythagorean fuzzy preference relations (PFPRs) based on additive consistency may exceed the defined domain. Therefore, we develop a group decision-making (GDM) method with incomplete PFPRs. Firstly, sufficient conditions for the expressibility of estimated preference values in PFPRs based on additive consistency are presented. Next, the correction algorithm is developed to correct the inexpressible elements in incomplete PFPRs. Then, a GDM method based on incomplete PFPRs is proposed to determine the objective weights of decision-makers. Finally, an example of subway station safety management during COVID-19 is selected to illustrate the applicability of the developed GDM method. The results show that the developed GDM method effectively identifies the crucial risk factor in subway station safety management and has better performance in terms of computational time complexity than the multiplicative consistency method. |
format | Online Article Text |
id | pubmed-9764829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97648292022-12-21 Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic Zhang, Zhenyu Zhang, Huirong Zhou, Lixin Qin, Yong Jia, Limin Expert Syst Appl Article Completing the Pythagorean fuzzy preference relations (PFPRs) based on additive consistency may exceed the defined domain. Therefore, we develop a group decision-making (GDM) method with incomplete PFPRs. Firstly, sufficient conditions for the expressibility of estimated preference values in PFPRs based on additive consistency are presented. Next, the correction algorithm is developed to correct the inexpressible elements in incomplete PFPRs. Then, a GDM method based on incomplete PFPRs is proposed to determine the objective weights of decision-makers. Finally, an example of subway station safety management during COVID-19 is selected to illustrate the applicability of the developed GDM method. The results show that the developed GDM method effectively identifies the crucial risk factor in subway station safety management and has better performance in terms of computational time complexity than the multiplicative consistency method. Elsevier Ltd. 2023-04-15 2022-12-20 /pmc/articles/PMC9764829/ /pubmed/36570381 http://dx.doi.org/10.1016/j.eswa.2022.119445 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Zhenyu Zhang, Huirong Zhou, Lixin Qin, Yong Jia, Limin Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title | Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title_full | Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title_fullStr | Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title_full_unstemmed | Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title_short | Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic |
title_sort | incomplete pythagorean fuzzy preference relation for subway station safety management during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764829/ https://www.ncbi.nlm.nih.gov/pubmed/36570381 http://dx.doi.org/10.1016/j.eswa.2022.119445 |
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