Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS

— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automatically process large volumes of raw data, to identify the most relevant and significative patterns in pattern recognition, to extract production rules using Mamdani and Takagi-SugenoKang fuzzy logic inference system types.

• Type: Journal
• Year: 2007
• Where: ENGL
• Authors: Juan E. Moreno, Oscar Castillo, Juan R. Castro, Luis G. Martínez, Patricia Melin
• Keywords: ENGL 2007, Fuzzy K-means, Fuzzy Logic Inference, Mackey-Glass Time Series