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...
Published in: | SCIENTIFIC REPORTS |
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Language: | English |
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NATURE PORTFOLIO
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001188276500050 |
author |
Zheng Yan; Qin Hongwu; Ma Xiuqin |
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Zheng Yan; Qin Hongwu; Ma Xiuqin A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets Science & Technology - Other Topics |
author_facet |
Zheng Yan; Qin Hongwu; Ma Xiuqin |
author_sort |
Zheng |
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Zheng, Yan; Qin, Hongwu; Ma, Xiuqin A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets SCIENTIFIC REPORTS English Article 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. NATURE PORTFOLIO 2045-2322 2024 14 1 10.1038/s41598-024-56922-5 Science & Technology - Other Topics gold WOS:001188276500050 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001188276500050 |
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 |
container_title |
SCIENTIFIC REPORTS |
language |
English |
format |
Article |
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. |
publisher |
NATURE PORTFOLIO |
issn |
2045-2322 |
publishDate |
2024 |
container_volume |
14 |
container_issue |
1 |
doi_str_mv |
10.1038/s41598-024-56922-5 |
topic |
Science & Technology - Other Topics |
topic_facet |
Science & Technology - Other Topics |
accesstype |
gold |
id |
WOS:001188276500050 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001188276500050 |
record_format |
wos |
collection |
Web of Science (WoS) |
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1809678906564804608 |