A new method for constructing membership functions and fuzzy rules from training examples

@article{Wu1999ANM,
  title={A new method for constructing membership functions and fuzzy rules from training examples},
  author={Tzu-Ping Wu and Shyi-Ming Chen},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={1999},
  volume={29 1},
  pages={25-40}
}
To extract knowledge from a set of numerical data and build up a rule-based system is an important research topic in knowledge acquisition and expert systems. In recent years, many fuzzy systems that automatically generate fuzzy rules from numerical data have been proposed. In this paper, we propose a new fuzzy learning algorithm based on the alpha-cuts of equivalence relations and the alpha-cuts of fuzzy sets to construct the membership functions of the input variables and the output variables… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 70 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 34 references

A new method for constructing membership functions and fuzzy rules from numerical data

  • T. P. Wu, S. M. Chen
  • Proc. 1997 5th Nat. Conf. Fuzzy Theory…
  • 1997

Fuzzy subsethood

  • V. R. Young
  • Fuzzy Sets Syst., vol. 77, no. 3, pp. 371–384…
  • 1996
1 Excerpt

Similar Papers

Loading similar papers…