Abstract
This paper proposes the algorithm that additional term is added to an objective function of noise clustering algorithm to define fuzzy subspaces in a fuzzy regression manner to identify fuzzy subspaces and parameters of the consequent parts simultaneously and obtain robust performance against outliers. © Springer-Verlag 2004.
Cite
CITATION STYLE
Kim, K., Kyung, K. M., Park, C. W., Kim, E., & Park, M. (2004). Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 538–543. https://doi.org/10.1007/978-3-540-30497-5_84
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