CAJ | 학술논문

提出了一种基于距离的粒计算分类算法。首先，将粒表示为具有超菱形、超球和超正方体三种形式；第二，设计两粒之间的合并算子，实现不同粒度之间的转换；第三，选取粒度阈值，控制粒之间的合并过程，并构造基于距离的粒计算分类算法。使用UCI机器学习的基准数据集合验证该算法的性能，实验结果验证了基于距离的粒计算分类算法的可行性。
제출료일충기우거리적립계산분류산법。수선，장립표시위구유초릉형、초구화초정방체삼충형식；제이，설계량립지간적합병산자，실현불동립도지간적전환；제삼，선취립도역치，공제립지간적합병과정，병구조기우거리적립계산분류산법。사용UCI궤기학습적기준수거집합험증해산법적성능，실험결과험증료기우거리적립계산분류산법적가행성。
The granular computing classification algorithms based on distance were proposed.Firstly, granules were represented as the forms of hyperdiamond, hypersphere and hypercube.Secondly, the union operators were de-signed to realize the transformation between two granule spaces with different granularity.Thirdly, the thresholds of granularity were used to control the union processes.Then the granular computing classification algorithms based on distance were designed.The benchmark datasets in UCI Learning Repository were used to verify the performance of the algorithms, the feasibility of the granular computing classification algorithms was verified by the experimental results.