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This paper presents a new approach to general type-2 fuzzy clustering called Multi-central general type-2 fuzzy clustering model. This model mainly focuses on uncertainty associated with the cluster centers. In this model, a set of points is considered as the center for each cluster. The membership values to the clusters are defined as general type-2 fuzzy sets including primary and secondary variables...
The aim of this paper is developing the optimization model for global market analysis. The type-2 fuzzy model is developed based on the variables which indicate the export trade trend during the specified period. The proposed model is implemented for forecasting export value of international market segment of Parisian carpet. This model can be used for selecting proper segment of international market...
In this paper, a type-2 fuzzy TSK expert system is developed for optimizing the global market prediction. Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is interval itself. The proposed type-2 fuzzy model applies the variables which indicate the export trade trend during the specified period. The PCM algorithm is employed to partitions...
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