Asymmetric aggregation operator and its application to fuzzy clustering model
In this paper, asymmetric aggregation operators are proposed to classify objects based on asymmetric similarities. Using the asymmetric aggregation operators, clusters which represent the asymmetric structure between objects are obtained. Moreover, the validity of this model is shown both by investigating the features of the asymmetric aggregation operators and through numerical applications.
additive clustering similarity data t-norm