Hadi Sadoghi Yazdi and Tahereh Royani and Mehri Sadoghi Yazdi and Sohrab Effati
Fuzzy Cost Support Vector Regression
587 - 592
2008
2
8
International Journal of Mathematical and Computational Sciences
https://publications.waset.org/pdf/13814
https://publications.waset.org/vol/20
World Academy of Science, Engineering and Technology
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.
Open Science Index 20, 2008