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@INPROCEEDINGS{moewes_unification_2008,
        author = {Moewes, Christian and Kruse, Rudolf},
        editor = {Verdegay, Jos{\'{e}} Luis and Magdalena, Luis and Ojeda-Aciego, Manuel},
      keywords = {Binary Classification, Fuzzy Rules, fuzzy SVM, Support Vector Machine},
         month = jun,
         title = {Unification of Fuzzy {SVMs} and Rule Extraction Methods through imprecise Domain Knowledge},
     booktitle = {Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-08)},
          year = {2008},
         pages = {1527--1534},
      location = {Torremolinos (M{\'{a}}laga)},
  organization = {University of M{\'{a}}laga},
           url = {http://www.gimac.uma.es/ipmu08/proceedings/papers/203-Moewes.pdf},
      abstract = {In this paper, we want to motivate the combination of kernel-based methods with fuzzy rule extraction methods to describe uncertain domains by fuzzy models. We thus introduce and motivate the concept of a fuzzy support vector machine (FSVM) to incorporate impreciseness into kernel machines. Furthermore, we present the idea of a positive definite fuzzy classifier (PDFC), the rules of which are obtained by kernel-based models. We conclude with two vague conceptions to associate FSVM with PDFC to finally obtain understandable and meaningful fuzzy rules.}
}