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 Authors: Zheng, Yan; Qin, Hongwu; Ma, Xiuqin
Format: Article
Language:English
Published: NATURE PORTFOLIO 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001188276500050
author Zheng
Yan; Qin
Hongwu; Ma
Xiuqin
spellingShingle 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
spelling 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
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