An Efficient Attribute Reduction Algorithm Designed with Heuristic Function

Gao Jing, Han Zhidong
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Abstract

Author comprehensively analyzes the main idea of attribute reduction algorithm about positive region at present. And author also summarizes its advantage and disadvantage. With the main idea of attribute reduction on discernibility object pair and on the basis of simplified decision table, author defines a function, which can measure the number of discernibility object pair produced by conditional attribute set. And with this function, author designs a heuristic function and describes a fast algorithm about this heuristic function in detail. Then author uses this heuristic function to design an efficient algorithm of attribute reduction based on positive region. And at last, author uses an instance to illuminate that this new algorithm can efficiently eliminate the shortages, including too much time consumption, too much space consumption and low efficiency in computing discernibility matrix. Finally, author validates that this new algorithm has high efficiency in practice.
基于启发式函数的高效属性约简算法
综合分析了目前正域属性约简算法的主要思想。并对其优缺点进行了总结。本文以可辨对象对属性约简的思想为主要思想,在简化决策表的基础上,定义了一个度量条件属性集产生的可辨对象对数量的函数。并利用该函数设计了一个启发式函数,详细描述了该启发式函数的快速算法。然后利用该启发式函数设计了一种高效的基于正域的属性约简算法。最后,通过实例说明,该算法能有效地消除识别矩阵计算耗时大、空间占用大、效率低等缺点。最后,在实践中验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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