Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators

Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators

Abstract The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipolarity while also handling additional fuzzy...

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Bibliographic Details
Main Authors: Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Disability disease
Artificial intelligence
Bipolar complex fuzzy linguistic set
Maclaurin symmetric mean
MADM technique
Online Access:https://doi.org/10.1038/s41598-025-01909-z
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https://doi.org/10.1038/s41598-025-01909-z

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