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Chinese Journal of Management Science ›› 2003, Vol. ›› Issue (4): 58-61.

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Uncertainty Support Vector Classification for Early-Warning

LIU Guang-li, ZHANG Ai-li, DENG Nai-yang   

  1. China Agricultural University, Beijing 100083, China
  • Received:2002-12-27 Revised:2003-04-28 Online:2003-08-28 Published:2012-03-06

Abstract: Support Vector Classification has shown great performance in practice as a two class classification methodologyHowever,it is required that every input must be exactly assigned to one of these two classes without any uncertainty. In this paper,we propose USVC early-warning algorithm on expert advices,which is able to deal with the training data with uncertaintyThe application field of our algorithms is,wider than the SFVM method,although uncertainty is also considered thereMoreover,early warning of grain security is solved by USVC algorithm.

Key words: support vector classification, uncertainty support vector classification(USVC), early warning

CLC Number: