Abstract:

By means of the introduction of  intuitionistic fuzzy set theory  into the least squares support vector machine, the mathematical  model of the intuitionistic fuzzy least squares support vector machine was established, and the solution to the model was  derived. The simulation experiments were performed on both artificial data sets and benchmark data sets to verify the effectiveness of the proposed algorithm. The results show that the intuitionistic fuzzy least squares support vector machine  algorithm can reduce the serious impact of sample noise and outliers on classification effect.

Key words: intuitionistic fuzzy, least squares support vector machine, classification