Logical operation based fuzzy MLP for classification and rule generation

  title={Logical operation based fuzzy MLP for classification and rule generation},
  author={Sushmita Mitra and Sankar K. Pal},
  journal={Neural Networks},
A jilzzy layered neural network/or classification and rule generation is proposed using logical neurons. II can handle uncertainty and/or impreciseness in the input as well as the output. Logical operators, namely, t­ norm T and t-conorm S involving And and Or neurons, are employed in place of the weighted sum and sigmoid functions. Various/uzzy implication operators are introduced to incorporate different amounts ofmutual interaction during the back propagation Q{ errors. In case 0/partial… CONTINUE READING
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Fuzzy multi - layer perceptron , inter ­ encing and rule generation

  • S. K. Pal
  • 1993
Highly Influential
4 Excerpts

Rule generation and infhenGing with a layered fuzzy neural network

  • S. K. Pal
  • Proceedings ofthe 2 nd Interna ­ tional…
  • 1992
Highly Influential
4 Excerpts

Relational structures in fuzzy sets and neuro ­ computations

  • W. Pedrycz
  • Proceedings of / he 1990 International COi 1…
  • 1990

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