Author

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 ...

On the nearest parametric approximation of a fuzzy number

Nasibov, E.N.; Peker, S. (ELSEVIER SCIENCE BV, 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 ...

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

Nasibov, E.N.; Peker, S. (PERGAMON-ELSEVIER SCIENCE LTD, 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 ...

Tip Ii Genelleştirilmiş Çan Şekilli Bulanık Sayısının Tip Ii Parametrik Yamuk Bulanık Sayı Yakınsanması

Peker, S.; Nasibov, E.N. (2019)

Belirsizliğin olduğu durumlarda bulanık sayının 0 ve 1’den farklı olarak diğer üyelik seviyelerine olanak tanıması çeşitli uygulamalarda bulanık sayının kullanılmasına yol açmıştır. Tip 1 bulanık sayılarda her bir x değerine ...