A General Fuzzy Clustering Model based on Asymmetric Aggregation Operators
Mika Sato‐Ilic, Yoshiharu Sato · IETE Journal of Research · 1998
We have discussed a generalized fuzzy clustering model for similarity data. In this clustering model, fuzzy aggregation operators are used to define the degree of simultaneous belongingness of a pair of objects to a cluster. In this paper, asymmetric aggregation operators are proposed to classify objects based on asymmetric similarities. Using the asymmetric aggregation operators, we get clusters which represent the asymmetric structure between objects. Moreover, the validity of this model is shown both by investigating the features of the model and through numerical applications.