Yazar

Toplam kayıt 2, listelenen: 1-2

    • On the nearest parametric approximation of a fuzzy number 

      Nasibov, E.N.; Peker, S. (Fuzzy Sets and Systems, 2008)
      Many nearest parametric approximation methods of fuzzy sets are proposed in the literature. It is clear that the specific approximations may lead to the loss of information about fuzziness. To overcome this problem, most ...

    • Time series labeling algorithms based on the K-nearest neighbors' frequencies 

      Nasibov, E.N.; Peker, S. (Expert Systems with Applications, 2011)
      In the current paper, time series labeling task is analyzed and some solution algorithms are presented. In these algorithms, fuzzy c-means clustering, which is one of the unsupervised learning methods, is used to obtain ...