Knowledge Reduction Algorithm Based Binary Discernibility Matrix ( to be Continued )

基于二进制可辨矩阵的知识约简 ( 待续 )

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Bicolor ration discernibility is applied to reject false targets. Gray expansion is used in quasi imaging.

研究了双色比区分伪目标, 灰度扩展亚成像方法.

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It corresponds approximately to Freud's superego and is the ground for discernibility and difference.

它大约相当于弗洛伊德“超我”的概念,而且是区分和分化的前提.

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Heuristic knowledge reduction approach based on discernibility matrix and strong compressible set is proposed.

提出了基于区分矩阵与强等价集的启发式知识约简方法.

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