Support vector machine for classification based on fuzzy training data

Authors:
Ai-bing Ji;Jia-hong Pang;Hong-jie Qiu
Affiliations:
Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, PR China and College of Medicine, Hebei University, Baoding 071000, Hebei, PR Ch ...;College of Medicine, Hebei University, Baoding 071000, Hebei, PR China;College of Medicine, Hebei University, Baoding 071000, Hebei, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

Support vector machines (SVM) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training example is non-fuzzy input and output is y=+/-1; In this paper, we introduce the support vector machine which the training examples are fuzzy input, and give some solving procedure of the Support vector machine with fuzzy training data.