Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach

The purpose of this paper is to propose a novel hybrid framework for evaluating and benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi-criteria decision-making (MCDM) techniques under a new fuzzy environment. To develop such a framework, a new decision ma...

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Bibliographic Details

Main Authors:	Alsalem M.A., Alamoodi A.H., Albahri O.S., Albahri A.S., Mart�nez L., Yera R., Duhaim A.M., Sharaf I.M.
Other Authors:	57200572842
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Artificial intelligence Decision making Health care Linguistics Sensitivity analysis 2-tuple linguistic Artificial intelligent Distance-based Health care application Multi attribute decision making Q?rung orthopair fuzzy 2?tuple linguistic combinative distance-based assessment Q?rung orthopair fuzzy 2?tuple linguistic fuzzy-weighted zero-inconsistency Rank ordering Trustworthy Benchmarking
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