Identification of high-dimensional fuzzy classification systems based on Multi-objective genetic algorithm

@article{Yong2008IdentificationOH,
  title={Identification of high-dimensional fuzzy classification systems based on Multi-objective genetic algorithm},
  author={Zhang Yong and Wu Xiaobei and Xu Zhiliang and Huang E Cheng},
  journal={2008 27th Chinese Control Conference},
  year={2008},
  pages={377-381}
}
A novel approach to construct accurate and interpretable high-dimensional fuzzy classification system is proposed in this paper. First, in order to relieve the problem of dimension disaster, a feature selection is accomplished by the Simba algorithm. Then a fuzzy clustering algorithm is using to identify an initial fuzzy system. Finally the structure and parameters of the fuzzy system are optimized by Multi-objective genetic algorithm. The proposed approach is applied to the Wisconsin Breast… CONTINUE READING