@inproceedings{2087,
  abstract     = {{It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions.}},
  author       = {{Mönks, Uwe and Lohweg, Volker and Petker, Denis}},
  booktitle    = {{IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems}},
  keywords     = {{Fuzzy Logic, Probability Theory, Fuzzy-Pattern-Classification, Machine Learning, Artificial Intelligence, Pattern Recognition}},
  publisher    = {{28 Jun 2010 - 02 July 2010, Dortmund, Germany}},
  title        = {{{Fuzzy-Pattern-Classifier Training with Small Data Sets}}},
  year         = {{2010}},
}

@inproceedings{2071,
  abstract     = {{In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and its membership function fuses (tunes) another membership function captured from fuzzy pattern classification and then final decisions are made upon fused one. Experiments are taken on five benchmark datasets, one of them shows an equal performance and the other four present better results than each single classifier.}},
  author       = {{Li, Rui and Lohweg, Volker}},
  isbn         = {{978-3-8007-3092-6}},
  keywords     = {{tuning parameter, information fusion, fuzzy cmeans, membership function, fuzzy pattern classification}},
  publisher    = {{In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany}},
  title        = {{{Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept}}},
  year         = {{2008}},
}