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

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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