A simple but powerful heuristic method for generating fuzzy rules from numerical data

@article{Nozaki1997ASB,
  title={A simple but powerful heuristic method for generating fuzzy rules from numerical data},
  author={Ken Nozaki and Hisao Ishibuchi and Hideo Tanaka},
  journal={Fuzzy Sets and Systems},
  year={1997},
  volume={86},
  pages={251-270}
}
In this paper, we propose a simple but powerful heuristic method for automatically generating fuzzy i~then rules from numerical data. Fuzzy i~then rules with nonfuzzy singletons (i.e., real numbers) in the consequent parts are generated by the proposed heuristic method. The main advantage of the proposed heuristic method is its simplicity, i.e., it involves neither time-consuming iterative learning procedures nor complicated rule generation mechanisms. We also suggest a linguistic… CONTINUE READING
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