RFIS vs. ANFIS: Comparison of two fuzzy models

version 1.1.3 (17 KB) by Krzysztof Wiktorowicz
Comparison of the RFIS and ANFIS fuzzy models based on heart disease detection, wine classification, and fuel consumption prediction.

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Updated 21 Nov 2022

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This package contains three examples of how the RFIS and ANFIS methods can be compared. Moreover, in the first and second examples, classical methods such as DT, KNN, LDA, and SVM are determined.
The first example concerns the detection of heart disease. The data can be downloaded from: https://archive.ics.uci.edu/ml/datasets/heart+Disease Original data-set (processed.cleveland.data) contains 303 rows, but the records with missing values have been removed, so we have 297 rows.
The second example concerns the classification of wines. The data can be downloaded form: https://archive.ics.uci.edu/ml/machine-learning-databases/wine/
The third example concerns the prediction of automobile fuel consumption in miles per gallon (MPG). The data can be downloaded from: https://archive.ics.uci.edu/ml/datasets/auto+mpg Original data-set contains 398 rows, but the records with missing values have been removed, so we have 392 rows.

Cite As

Krzysztof Wiktorowicz (2022). RFIS vs. ANFIS: Comparison of two fuzzy models (https://www.mathworks.com/matlabcentral/fileexchange/115775-rfis-vs-anfis-comparison-of-two-fuzzy-models), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired by: RFIS: Regression-based Fuzzy Inference System

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