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This research aims to develop a new framework for aircraft maintenance decision-making that mitigates uncertainty.

A novel case-based reasoning framework for civil aircraft structural maintenance: Handling uncertainty with intuitionistic fuzzy entropy

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This research aims to develop a new framework for aircraft maintenance decision-making that mitigates uncertainty.
Proposes a novel case-based reasoning framework using a new intuitionistic fuzzy entropy measure.
Models degrees of membership, non-membership, and hesitation to address uncertainty in case data.
Demonstrates efficacy through real-world civil aircraft structural maintenance cases.
Identified the most similar primary case with high accuracy (similarity = 0.951).
Uniquely retrieved a crucial secondary case with similarity = 0.607, overlooked by other methods.
Provided engineers with diverse repair solutions due to shared critical failure mode (frame fatigue).

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A novel framework improves decision-making in civil aircraft maintenance by addressing uncertainty with a new method.

Lin et al. (2026) studied this question.

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