سال انتشار: ۱۳۸۷

محل انتشار: دومین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۴

نویسنده(ها):

S Effati – Sabzevar Tarbiat Moallem University
H. Sadoghi Yazdi –
A Jiryani Sharahi –

چکیده:

This paper presents fuzzy clustering algorithm for fuzzy data based on  -cuts. A new suitable definition for distance between two arbitraryfuzzy numbers based on  -cuts is proposed. We thenreformulate fuzzy c-means (FCM) with fuzzy data and fuzzy centers based on  -cuts. The effectiveness of theproposed clustering algorithm is tested for arbitrary fuzzy data set and then it is compared with two other methods; the fuzzy c-number (FCN) algorithm and the mixed-type variables FCM (MVFCM) algorithm