%0 Journal Article
	%A Hadi Sadoghi Yazdi and  Tahereh Royani and  Mehri Sadoghi Yazdi and  Sohrab Effati
	%D 2008
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 20, 2008
	%T Fuzzy Cost Support Vector Regression
	%U https://publications.waset.org/pdf/13814
	%V 20
	%X In this paper, a new version of support vector regression (SVR) is presented namely Fuzzy Cost SVR (FCSVR). Individual property of the FCSVR is operation over fuzzy data whereas fuzzy cost (fuzzy margin and fuzzy penalty) are maximized. This idea admits to have uncertainty in the penalty and margin terms jointly. Robustness against noise is shown in the experimental results as a property of the proposed method and superiority relative conventional SVR.

	%P 587 - 592