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High resolution range profile possesses great significance in automatic target recognition (ATR) research and application due to its efficiency superiority. Feature extraction is one of the major ATR research directions. Existing feature extraction techniques only concern the range profile in original scale, which constrains the cognitive level of classifiers. This study goes beyond this limitation...
For granular computing has advantage to handle a great deal of fuzzy information, it provides new thoughts for image segmentation. Firstly, the paper defines a new granular computing model, which is granular lattice matrix model. Secondly, we applied the model to image segmentation and proposed a new algorithm of segmentation. Finally, we certify the new algorithm is better than traditional algorithm...
Dominance-based rough set approach is an useful extension of the classical rough set approach and it has been successfully applied into multi-criteria decision analysis problems. This paper present an explorative research focusing on knowledge reduction of fuzzy rough set model in fuzzy decision system. The investigated fuzzy rough set model is different from the classical fuzzy rough set model because...
The purpose of this paper is to investigate the incomplete information system in which all unknown values are considered as "do not care" conditions by rough set technique. Based on the non-symmetric similarity relation for classification analysis in such information system, we propose the concept of valued similarity relation to show the degree that an object is similar to another one....
Granular computing (GrC) fuses theoretical research results such as rough sets, fuzzy sets, word computing, quotient space and interval computing. GrC is a new hotspot in artificial intelligence and information processing. Layer viewpoint is a concept in GrC and multi-layer GrC has great significance in the problem solving and knowledge structure of human beings. This paper introduced the layer viewpoint...
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