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Table 4 The ANFIS performance based on the different MF types

From: Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

MFs Type

Precision

Sensitivity

Accuracy

F-score

Gaussmf

0.8621

0.9036

0.8718

0.8824

Gbellmf

0.8851

0.9277

0.8974

0.9059

Trimf

0.8588

0.8795

0.8590

0.8690

Gauss2mf

0.9080

0.9518

0.9231

0.9294

Pimf

0.9157

0.9157

0.9103

0.9157

Trapmf

0.8690

0.8795

0.8654

0.8743

Dsigmf

0.8778

0.9518

0.9038

0.9133

Psigmf

0.8778

0.9518

0.9038

0.9133

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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