Abstract
Concerning the defect of fuzzy membership as a function of distance between the point and its class center in feature space for some current Fuzzy Support Vector Machines(FSVM),a new FSVM based on entropy and Ant Colony Optimization(ACO) named EAFSVM was proposed in this paper.Making use of evaluation of entropy and intelligence of ACO,EAFSVM enhances the classification capability and makes clustering center more suitable and membership more accurate.Experimental results show EAFSVM has better precision and classification performance,especially to multi-class and large scale data.
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