TY - JOUR A2 - Sanei, Saeid AU - Liu, Hongbing AU - Liu, Chunhua AU - Wu, Chang-an PY - 2014 DA - 2014/03/06 TI - Granular Computing Classification Algorithms Based on Distance Measures between Granules from the View of Set SP - 656790 VL - 2014 AB - Granular computing classification algorithms are proposed based on distance measures between two granules from the view of set. Firstly, granules are represented as the forms of hyperdiamond, hypersphere, hypercube, and hyperbox. Secondly, the distance measure between two granules is defined from the view of set, and the union operator between two granules is formed to obtain the granule set including the granules with different granularity. Thirdly the threshold of granularity determines the union between two granules and is used to form the granular computing classification algorithms based on distance measures (DGrC). The benchmark datasets in UCI Machine Learning Repository are used to verify the performance of DGrC, and experimental results show that DGrC improved the testing accuracies. SN - 1687-5265 UR - https://doi.org/10.1155/2014/656790 DO - 10.1155/2014/656790 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -