计算机科学 ›› 2012, Vol. 39 ›› Issue (10): 235-239.

• 人工智能 • 上一篇    下一篇

基于信息量的完备覆盖约简算法

覃丽珍,姚炳学,李金海   

  1. (聊城大学数学科学学院 聊城252059) (西安交通大学理学院 西安710049)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Complete Algorithm for Covering Reduction Based on Information Quantity

  • Online:2018-11-16 Published:2018-11-16

摘要: 覆盖粗糙集是Pawlak粗糙集的一种重要推广。类似于Pawlak粗糙集,约简也是覆盖粗糙集中的核心问题之一。通过引入覆盖族的信息量的概念,讨论了覆盖协调集、约简以及核的等价判定定理,同时对覆盖的重要性进行了度量;在此基础上,提出一种完备的启发式覆盖约简算法,它能够从搜索空间中逐步删除不重要覆盖,避免对其重要性的重复计算;最后,通过一个购房综合评价的实例说明了该算法的可行性与有效性。

关键词: 粗糙集,覆盖粗糙集,约简,信息量

Abstract: Covering generalized rough sets arc an important extension of Pawlak's rough sets. Similar to the Pawlak's rough sets, reduction is also one of the key issues in covering generalized rough sets. Information quantity of a family of coverings was introduced to characterize the consistent set, reduct and core of a family of coverings. A novel approach for measuring the significance of coverings was presented. Then, a complete heuristic algorithm was proposed to reduce a family of coverings. In the algorithm,unimportant coverings can gradually be removed from the search space to effectively avoid the repeated computation of the significance of the unimportant coverings. Finally,a real example of evaluating houses was used to illustrate the feasibility and effectiveness of the proposed algorithm.

Key words: Rough sets, Covering generalized rough sets, Reduction, Information quantity

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