Hossein Ghaffarian - Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran
Hamid Parvin - Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran
Behrouz Minaei - Computer Engineering School, Iran University of Science and Technology, Narmak, Tehran, Iran

In this paper, we proposed a new feature subset selection approach. In proposed approach first, the entire dataset are classified and the best number of clusters over it are found according to silhouette value. Then according to this value, each feature is alone classified with the same cluster number and accordingly the proposed entropy fuzzy measure is found for them. We examine our method on some traditional datasets. The results show a good performance of proposed method