Generating fuzzy membership function with self-organizing feature map

  • Authors:
  • Chih-Chung Yang;N. K. Bose

  • Affiliations:
  • Department of Electrical Engineering, Spatial and Temporal Signal Processing Center, The Pennsylvania State University, 121 Electrical Engineering East, University Park, PA 16802, USA;Department of Electrical Engineering, Spatial and Temporal Signal Processing Center, The Pennsylvania State University, 121 Electrical Engineering East, University Park, PA 16802, USA

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2006

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Abstract

Automatic fuzzy membership generation is important in pattern recognition. A new scheme is proposed to generate fuzzy membership functions with unsupervised learning using self-organizing feature map. Simulation results on different datasets support this new scheme.