基于遗传算法的直觉模糊C均值聚类算法

 针对一般直觉模糊C均值聚类算法在寻优过程中易陷入局部最优解的问题，利用遗传算法具备全局寻优的优点，提出了一种基于遗传算法的直觉模糊C均值聚类算法。在该算法中聚类中心为直觉模糊数，这使得遗传过程中个体信息变得复杂，进而增大了约束问题的处理难度。本文对产生的个体采用适时分段的归一化方法，很好地解决了该问题。仿真结果表明该算法所得聚类结果不仅准确而且更为细致。

Intuitionistic Fuzzy C-means Clustering Algorithms Based on Genetic Algorithms

In this paper,an intuitionistic fuzzy C-means clustering algorithms(IFCM) based on genetic algorithms is proposed.Compared with other methods based on various similarity matrixs,more objective results can be obtained by utilizing the optimal method to do clustering analysis.Firstly,the IFCM clustering method currently in use is discussed.By using this method,a local optimal value may be obtained as fuzzy C-means.The method proposed in this paper can overcome this drawback by combining that method with the G...