Fuzzy Linear SVM for Data Mining

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Provided by: AICIT
Topic: Big Data
Format: PDF
Data mining on uncertainty is concerned with. Support Vector Machine (SVM) is a powerful classification technique and has been successfully applied to many real-world problems. However, it is required that the values of input indices must be real numbers. A new fuzzy SVM technique is proposed which can deal with the training fuzzy data. A definition of fuzzy coefficient quadratic programming is given as a direct result of fuzzy SVM. Meanwhile, a useful method is presented to solve the programming. By data experiment, ordinary SVM can be viewed as a special case of fuzzy SVM.
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