Fuzzy cost support vector regression on the fuzzy samples

Authors:
Abedin Vahedian;Mehri Sadoghi Yazdi;Sohrab Effati;Hadi Sadoghi Yazdi
Affiliations:
Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran;Electrical and Computer Engineering Department, Shahid Beheshti University of Tehran, Tehran, Iran;Mathematics Department, Ferdowsi University of Mashhad, Mashhad, Iran;Computer Department, Ferdowsi University of Mashhad, Mashhad, Iran
Venue:
Applied Intelligence
Year:
2011

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Abstract

This paper presents a new version of support vector regression (SVR) named Fuzzy Cost SVR (FCSVR) with a unique property of operating on fuzzy data where 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 to be superior in the experimental results as a property compared with conventional SVR.