Vector Fuzzy c-Spherical Shells (VFCSS) over Non-Crisp Numbers for Satellite Imaging

The conventional fuzzy c-spherical shells (FCSS) clustering model is extended to cluster involving non-crisp numbers, in this paper. This achieved by a vectorized representation of distance, between two numbers like the crisp case. Using proposed method, named vector (VFCSS), all and can be clustered FCSS algorithm unique structure. Therefore, we implement over various types structure with only few alterations details used implementing each relations VFCSS applied (containing symbolic-interval, LR-type, TFN-type TAN-type fuzzy) are presented Finally, simulation results reported for synthetic LR-type numbers; where application method real life geomorphology science illustrated extracting radii circular agricultural fields using remotely sensed images show better performance lower cost computational complexity comparison FCSS.