Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data

Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data

Abstract Diabetes mellitus refers to a collection of metabolic disorders that affect the way carbohydrates are processed in the body. It is a prominent worldwide health issue. Precise and reliable decision-making methods are critical for identifying the most effective method of detecting diabetes me...

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Bibliographic Details
Main Authors:	Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Series:	Scientific Reports
Subjects:	Complex bipolar fuzzy sets Complex bipolar fuzzy dynamic ordered weighted averaging operator Complex bipolar fuzzy dynamic ordered weighted geometric operator Multiple attribute decision-making Diabetes mellitus diagnosis
Online Access:	https://doi.org/10.1038/s41598-024-84460-7
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