A Method of Intuitionistic Fuzzy Evaluation of Self Organizing Map Neural Network

In this paper a method of Intuitionistic fuzzy evaluation of Self Organizing Map neural network is presented. The Self Organizing Map neural network is unsupervised neural networks which means that each neuron of the network represents a cluster which represents the group of data. It is described that each cluster is the representative sample of the input data and the method of intuitionistic fuzzy evaluation of the clusters is applied to the algorithm. The cluster is divided into regions and all of the data of the cluster is evaluated with intuitionistic fuzzy values (µ,
$v$
, and
$\pi$
) based on the region where the data point is. The use of intuitionistic fuzzy values could help us for better performance of the Self Organizing Map neural network.