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A hybrid diversited attribute group decision-making method based on non-additive measure entropy weight and multi-granularity generalized fuzzy rough set with application in medical diagnosis

Crossref DOI link: https://doi.org/10.1007/s13042-024-02487-8

Published Online: 2024-12-12

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Xinfang

Chen, Xiangtang

Sun, Bingzhen

Zhao, Xixuan

Chu, Xiaoli

Cai, Jianxiong
Funding

Funding for this research was provided by:

Humanities and Social Science Research Program of Ministry of Education (22YJA630008)

National Natural Science Foundation of China (72071152, 72301082)

Shaanxi National Funds for Distinguished Young Scientists (2023-JC-JQ-11)

Key Technologies Research and Development Program of Guangzhou Municipality (202206010101)

Basic and Applied Basic Research Foundation of Guangdong Province (2022A1515110703)

Guangdong Provincial Hospital of Chinese Medicine Science and Technology Research Project (YN2022QN33)
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Text and Data Mining valid from 2024-12-12

Version of Record valid from 2024-12-12
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Article History

Received: 10 July 2024

Accepted: 27 November 2024

First Online: 12 December 2024

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