A design and optimization of a cgk-based fuzzy granular model based on the generation of rationalinformation granules

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  • who: Chan-Uk Yeom and Keun-Chang Kwak from the Center for IT-Bio Convergence System Agriculture, Chonnam University, Gwangju, Korea have published the Article: A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of RationalInformation Granules, in the Journal: (JOURNAL)
  • what: This study proposes an optimized context-based Gustafson Kessel (CGK)-based fuzzy granular model based on the generation of rational information granules and an optimized CGKbased fuzzy granular model with the aggregated structure. To solve this problem, the authors propose context-based GK clustering that considers the . . .

     

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