An algorithm for discretization based on Particle swarm optimization (PSO) is presented, which can settle the problem of continuous attributes discretization in systema modeling perfectly.

提出了一种基于微粒群优化(PSO)算法的连续属性离散化方法，很好的解决了建模过程中连续属性的离散化问题。

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The discretization of real value attributes is one of the most main problems in rough sets theory.

连续属性的离散化是粗糙集理论的主要问题之一。

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Discretization of continuous type of attributes is a key issue in machine learning, it is a NP puzzle.

连续型属性的离散化问题是机器学习中的关键问题，是一个NP难题。

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