RFIS vs. ANFIS: Comparison of two fuzzy models

Comparison of the RFIS and ANFIS on heart disease detection, wine classification, raisin classification, and fuel consumption prediction.

This package contains four examples of how the RFIS and ANFIS fuzzy models can be compared. Moreover, in the classification 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 from: https://archive.ics.uci.edu/ml/datasets/Wine

The third example concerns the classification of raisins. The data can be downloaded from: https://archive.ics.uci.edu/ml/datasets/Raisin+Dataset In the data-set, class Kecimen is replaced with 1 and Besni with 2.

The fourth 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.

Requires the RFIS package that can be downloaded from: https://www.mathworks.com/matlabcentral/fileexchange/95848-rfis-regression-based-fuzzy-inference-system?s_tid=srchtitle