Classification of music based on emotion using the fuzzy inference system algorithm (fis) Mamdani
Abstract
Purpose: Applying audio features music to classify the emotion based on moods using fuzzy inference system algorithm and to analyze the effect of music on playlists using the methods. Design/methodology/approach: Implement the Fuzzy Inference system Algorithm to classify and using features audio music. Findings/result: From the test results with con- fusion matrix represent that the mamdani fuzzy inference system (fis) obtained average accuracy 75 %, precision 85 %, and recall 81 %. Origi- nality/value/state of the art: In this study, the the selection feature using mutual information to find the value of the musical parameters used for classification. Previous studies only used machine learning models, but did not use learning models with parameter value selection features. The data in this study were obtained from spotify for developers.
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