Case-Based Reasoning System for Aeroengine Fault Diagnosis Enhanced with Attitudinal Choquet Integral

نویسندگان

چکیده

As the core process of case-based reasoning (CBR), case retrieval is foundation for CBR success, and quality depends on similarity measure. We improved system aeroengine fault diagnosis by embedding attitudinal Choquet integral (ACI) 2-order additive measure to consider attribute interactions decision makers’ attitudes. The enhanced method can not only integrate local similarity, importance, interaction between attributes, but also incorporate attitude maker, thus producing more comprehensive reasonable global high-quality recommendations. An experimental study comparisons with other aggregation methods were performed demonstrate effectiveness proposed method.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app12115696