计算机科学 ›› 2012, Vol. 39 ›› Issue (6): 191-193.

• 人工智能 • 上一篇    下一篇

特性关系粗糙集中对象变化时近似集增量更新方法研究

周秋山,李天瑞,陈红梅,张钧波   

  1. (西南交通大学信息科学与技术学院 成都610031)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Research on Properties of Approximations in Rough Sets Based on Characteristic Relation When Object Varies with Time

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

摘要: 特性关系信息系统是一般信息系统的推广模型,仅满足自反性,具有同时处理不完备信息系统中的丢失数据和不关心数据的功能。在实际应用中,信息系统随着对象的变化而不断地动态变化。研究了在特性关系粗糙集模型下单个对象增加和删除时近似集变化的规律,提出了相应的增量更新算法并给予了实验验证。

关键词: 粗糙集,不完备信息系统,特性关系,增量更新

Abstract: The information system based on characteristic relation is an extension of the general model of the information system. It only satisfies the reflexive and can deal with "lost" and "do not care" data in incomplete information systans simultaneously. In real-life applications, the information system may change dynamically according to the variation of objects. This paper discussed properties of approximations in rough sets based on the characteristic relation when one object is added to or deleted from the information system. An incremental algorithm for updating approximations was proposed and experimental evaluation was employed to validate the proposed method.

Key words: Rough sets, Incomplete information systems, Characteristic relation, Incremental updating

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