一种新的覆盖粗糙模糊集模型
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作者单位:

1. 漳州师范学院
2. 电子科技大学计算机科学与工程学院

作者简介:

汤建国

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中图分类号:

TP18

基金项目:

国家自然科学基金


A new type of covering-based rough fuzzy set model
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    摘要:

    在覆盖粗糙集与模糊集结合的研究中, 已有的覆盖粗糙模糊集模型存在两类问题: 一类是元素的上、下近似
    隶属度之间的差值通常过大; 另一类是元素的上、下近似隶属度与其在给定模糊集中的隶属度无关. 对此, 通过定义
    模糊覆盖粗糙隶属度, 将元素的最小描述与给定模糊集建立联系, 同时综合元素在给定模糊集中的隶属度, 进而建立
    一个新的覆盖粗糙模糊集模型. 理论比较和实验结果均表明该模型可以有效解决上述两类问题.

    Abstract:

    There are two kinds of problems in the study of covering-based rough sets combined with the fuzzy sets. That
    is, on the one hand, in the existing covering-based rough fuzzy set models, there is often too big difference between the
    lower and upper approximate memberships of an element in the universe; and on the other hand, for any element in the
    universe, the lower and upper approximate memberships of it have nothing to do with the membership of itself in the given
    fuzzy set. Therefore, by defining the concept of fuzzy covering-based rough membership, the relationships between minimal
    descriptions of elements contained in the universe and the given fuzzy set are built. The memberships of the element in the
    given fuzzy set are also considered. Then, on this basis, a new covering-based rough fuzzy set model is established. The
    comparative study between this model and the existing models shows that proposed model can solve the above two kinds of
    problems effectively.

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汤建国, 佘 堃, 祝 峰.一种新的覆盖粗糙模糊集模型[J].控制与决策,2012,27(11):1653-1662

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  • 收稿日期:2011-07-11
  • 最后修改日期:2011-10-12
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  • 在线发布日期: 2012-11-20
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