Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification

  title={Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification},
  author={K. E. Graves and R. Nagarajah},
  journal={IEEE Transactions on Neural Networks},
Uncertainty arises in classification problems when the input pattern is not perfect or measurement error is unavoidable. In many applications, it would be beneficial to obtain an estimate of the uncertainty associated with a new observation and its membership within a particular class. Although statistical classification techniques base decision boundaries according to the probability distributions of the patterns belonging to each class, they are poor at supplying uncertainty information for… CONTINUE READING


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