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Incremental fuzzy probabilistic rough sets over two universes

机译：两个宇宙上的增量模糊概率粗糙集

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摘要

The fuzzy Information System over Two Universes (ISTU) formalizing a data table corresponding to two universes as well as their relations is common in real-world applications, e.g., recommender system and clinical diagnosis system. The fuzzy probabilistic rough sets over two universes (FPRSMTU) can deal with a fuzzy relation and allow a tolerance inaccuracy in the construction of rough approximations in a fuzzy ISTU, which is a generalization of classic rough sets with fuzzy and probabilistic theories. As a necessary step for knowledge discovery based on rough sets, the fuzzy rough approximations of fuzzy ISTU need to be updated efficiently under dynamic data environment. Incremental technique is an efficient approach for dynamic information processing by making full use of previously obtained knowledge. In this paper, incremental approaches for updating approximations of fuzzy ISTU are proposed while some objects adding into or deleting from the two universes, and the corresponding incremental algorithms are designed. Experimental evaluations on real datasets as well as artificial datasets show the effectiveness of the proposed incremental updating method compared with the non-incremental method. (C) 2016 Elsevier Inc. All rights reserved.
机译：形式化对应于两个宇宙及其关系的数据表的两个宇宙的模糊信息系统（ISTU）在现实世界的应用程序中很常见，例如推荐系统和临床诊断系统。两个宇宙上的模糊概率粗糙集（FPRSMTU）可以处理模糊关系，并允许在模糊ISTU中构建粗糙近似时产生公差误差，这是对具有模糊和概率论的经典粗糙集的概括。作为基于粗糙集的知识发现的必要步骤，在动态数据环境下，需要有效地更新模糊ISTU的模糊粗糙近似。增量技术是一种通过充分利用先前获得的知识进行动态信息处理的有效方法。本文提出了一种增量方法来更新模糊ISTU的近似值，同时将一些对象添加到两个宇宙中或从这两个宇宙中删除，并设计了相应的增量算法。对真实数据集和人工数据集的实验评估表明，与非增量方法相比，所提出的增量更新方法是有效的。 （C）2016 Elsevier Inc.保留所有权利。

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  • 来源
    《高分子論文集》 |2017年第2期|28-48|共21页
  • 作者

    Hu Jie; Li Tianrui; Luo Chuan; Fujita Hamido; Li Shaoyong;

  • 作者单位

    Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Peoples R China;

    Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Peoples R China;

    Sichuan Univ, Coll Comp Sci, Chengdu 610065, Peoples R China;

    Iwate Prefectural Univ, Fac Software & Informat Sci, Takizawa, Iwate 0200693, Japan;

    PLA, Naval Aviat Inst, Huludao 125001, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rough sets; Two universes; Fuzzy relation; Approximations; Incremental updating;

    机译：粗糙集;两个宇宙;模糊关系;逼近;增量更新;

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