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An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set

机译:在对象集变化下更新粗糙模糊集的逼近的增量方法

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摘要

The lower and upper approximations are basic concepts in rough set theory, and the approximations will change dynamically over time. Incremental methods for updating approximations in rough set theory and its extension has been received much attention recently. This paper presents an approach for incrementally updating approximations of fuzzy rough sets in dynamic fuzzy decision systems when a single object immigrating and emigrating. Examples are employed to illustrate the proposed approach.
机译:上下近似是粗糙集理论中的基本概念,并且近似将随时间动态变化。在粗糙集理论及其扩展中,用于更新逼近的增量方法最近受到了广泛关注。本文提出了一种在单个对象迁移和迁移时动态更新模糊决策系统中模糊粗糙集的近似值的增量方法。举例说明了所提出的方法。

著录项

  • 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 Computer and Information Engineering, Yibin University, Yibin 644007, 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 Economics and Management, Southwest Jiaotong University, Chengdu 610031, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rough Fuzzy Sets; Approximations; Incremental Learning;

    机译:粗糙模糊集近似值;增量学习;

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