计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 176-178.

• 人工智能 • 上一篇    下一篇

集值信息系统基于优势关系下的知识约简

陈子春,刘鹏惠,秦克云   

  1. (西南交通大学数学学院 成都610039);(西华大学数学与计算机学院 成都610013)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金资助项目(60474022),四川青年基金资助项目(06ZQ026-037)资助。

Knowledge Reduction of Set-valued Information Systems Based on Dominance Relation

CHEN Zi-chun,LIU Peng-hui.QIN Ke-yun   

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

摘要: 在集值信息系统中,把所有属性看成是一种准则,然后利用属性集值的取值分布定义了两种不同的优势关系,它们都是经典信息系统上优势关系的推广。针对这两种优势关系,给出了集值信息系统的知识约简与对象的相对约简的判定,定义了基于区分矩阵的区分函数,并利用布尔推理方法得到了这两种优势关系下的知识约简与对象的相对约简的具体操作方法。

关键词: 集值信息系统,优势关系,区分函数,知识约简

Abstract: We proposed two different types of dominance relations in set-valued information systems by the distribution of set-valued when all attributes were considered as criterions, and generalized the dominance relations in classical information systems. The judgment of knowledge reduction and relative reduction of each object were studied for two types of dominance relations in set valued information systems, from which we defined discernibility function based on discernibility matrix, and got approach computing knowledge reduction and relative reduction of each object.

Key words: Set valued information systems, Dominance relation, Discernibility function, Knowledge reduction

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