A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets

Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose a new method for aggregating multiple IVq-ROFSs, which is easier to understand and implement in the multi-attribute group decision making process compared to current...

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Published in:Scientific Reports
Main Author: Zheng Y.; Qin H.; Ma X.
Format: Article
Language:English
Published: Nature Research 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188063369&doi=10.1038%2fs41598-024-56922-5&partnerID=40&md5=6bc6b599f0a841fad0550d490025baf5
id 2-s2.0-85188063369
spelling 2-s2.0-85188063369
Zheng Y.; Qin H.; Ma X.
A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
2024
Scientific Reports
14
1
10.1038/s41598-024-56922-5
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188063369&doi=10.1038%2fs41598-024-56922-5&partnerID=40&md5=6bc6b599f0a841fad0550d490025baf5
Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose a new method for aggregating multiple IVq-ROFSs, which is easier to understand and implement in the multi-attribute group decision making process compared to current aggregation operators. Secondly, this paper introduces a new fuzzy entropy with parameters based on IVq-ROFS, which is highly flexible due to its adjustable parameters. Based on this, the IVq-ROFS-based attribute weight calculation method is proposed to obtain the objective weights of the attributes, which is more reasonable and objective than the existing methods. Then, for the dimensional differences between the three compromise scores in the original Combined Compromise Solution (CoCoSo) method, the enhanced compromise scores are proposed. These scores are obtained by normalizing the three dependent compromise scores, ensuring that they fall within the same range. Finally, a novel CoCoSo mothed on IVq-ROFS using the proposed fuzzy entropy and enhanced compromise scores is presented. The proposed method is highly adaptable and scalable, not limited to IVq-ROFS. The excellent performance and robustness of the proposed method are verified in sepsis diagnosis applications. © The Author(s) 2024.
Nature Research
20452322
English
Article
All Open Access; Gold Open Access
author Zheng Y.; Qin H.; Ma X.
spellingShingle Zheng Y.; Qin H.; Ma X.
A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
author_facet Zheng Y.; Qin H.; Ma X.
author_sort Zheng Y.; Qin H.; Ma X.
title A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
title_short A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
title_full A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
title_fullStr A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
title_full_unstemmed A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
title_sort A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
publishDate 2024
container_title Scientific Reports
container_volume 14
container_issue 1
doi_str_mv 10.1038/s41598-024-56922-5
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188063369&doi=10.1038%2fs41598-024-56922-5&partnerID=40&md5=6bc6b599f0a841fad0550d490025baf5
description Interval-valued q-rung orthopair fuzzy set (IVq-ROFS) is a powerful tool for dealing with uncertainty. In this paper, we first propose a new method for aggregating multiple IVq-ROFSs, which is easier to understand and implement in the multi-attribute group decision making process compared to current aggregation operators. Secondly, this paper introduces a new fuzzy entropy with parameters based on IVq-ROFS, which is highly flexible due to its adjustable parameters. Based on this, the IVq-ROFS-based attribute weight calculation method is proposed to obtain the objective weights of the attributes, which is more reasonable and objective than the existing methods. Then, for the dimensional differences between the three compromise scores in the original Combined Compromise Solution (CoCoSo) method, the enhanced compromise scores are proposed. These scores are obtained by normalizing the three dependent compromise scores, ensuring that they fall within the same range. Finally, a novel CoCoSo mothed on IVq-ROFS using the proposed fuzzy entropy and enhanced compromise scores is presented. The proposed method is highly adaptable and scalable, not limited to IVq-ROFS. The excellent performance and robustness of the proposed method are verified in sepsis diagnosis applications. © The Author(s) 2024.
publisher Nature Research
issn 20452322
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
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