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AN INCREMENTAL UPDATING METHOD FOR APPROXIMATIONS IN INCOMPLETE ORDERED DECISION SYSTEM

机译:不完全有序决策系统中逼近的增量更新方法

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摘要

Considering different cases of missing values, an extended dominance characteristic relation is proposed in incomplete ordered information systems in this paper. Extended dominance characteristic relation classes are used to realize the granules in the granular computing. Then, definitions of attribute coarsening and refining in incomplete ordered decision systems are presented and an incremental updating method w.r.t. attribute coarsening and refining are analyzed. The updating method of approximations of an upward union of classes is further analyzed according to the changes of extended dominance relation classes.
机译:考虑缺失值的不同情况,提出了不完备有序信息系统中扩展的优势特征关系。扩展的优势特征关系类用于在颗粒计算中实现颗粒。然后,给出了不完备有序决策系统中属性粗化和细化的定义,并提出了一种增量更新方法。分析属性的粗化和细化。根据扩展支配关系类的变化,进一步分析了类的向上并集的近似更新方法。

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  • 来源
  • 会议地点 Chengdu(CN)
  • 作者单位

    School of Information Science and Technology, Southwest Jiaotong University Chengdu 610031, China;

    School of Information Science and Technology, Southwest Jiaotong University Chengdu 610031, China;

    School of Information Science and Technology, Southwest Jiaotong University Chengdu 610031, China;

    School of Information Science and Technology, Southwest Jiaotong University Chengdu 610031, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
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