Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding

@article{Nandi2004DesignOA,
  title={Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding},
  author={A. Nandi and D. K. Pratihar},
  journal={Fuzzy Sets Syst.},
  year={2004},
  volume={148},
  pages={487-504}
}
  • A. Nandi, D. K. Pratihar
  • Published 2004
  • Mathematics, Computer Science
  • Fuzzy Sets Syst.
  • We have developed, in this paper, a genetic-fuzzy system, in which a genetic algorithm (GA) is used to improve the performance of a fuzzy logic controller (FLC). The performance of an FLC depends on its knowledge base (KB), which consists of both the data base (membership function distributions of the variables) as well as rule base. In the developed genetic-fuzzy system, the KB of the FLC is optimized, off-line, using a GA. Three approaches are developed, in the present work. In the first… CONTINUE READING
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