A Fuzzy Support Vector Machine with Qualitative Regression Preset

In this paper, we formulate a qualitative classification model by means of qualitative fuzzy regression preset based fuzzy support vector machine (FQR-FSVM). This new model will make it possible to achieve discrimination of output while characterizing membership for each class in terms of multi-dimensional qualitative inputs (attributes). Moreover, the new model will largely shorten the computing time especially for large database by using linear preset of fuzzy qualitative regression classifier to limit the non-linear classification region.