Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure

@article{Zhou2006ConstructingAA,
  title={Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure},
  author={Shang-Ming Zhou and John Q. Gan},
  journal={Fuzzy Sets and Systems},
  year={2006},
  volume={157},
  pages={1057-1074}
}
Parsimony is very important in system modeling as it is closely related to model interpretability. In this paper, a scheme for constructing accurate and parsimonious fuzzy models by generating distinguishable fuzzy sets is proposed, in which the distinguishability of input space partitioning is measured by a so-called “local” entropy. By maximizing this entropy measure the optimal number of merged fuzzy sets with good distinguishability can be obtained, which leads to a parsimonious input space… CONTINUE READING

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