计算机科学 ›› 2012, Vol. 39 ›› Issue (8): 228-232.

• 人工智能 • 上一篇    下一篇

一种覆盖粗糙Vague集模型及其不确定性度量

王 伟,彭进业,李 展   

  1. (西北大学信息科学与技术学院 西安710127);(西北工业大学电子信息学院 西安710072)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Covering Rough Vague Sets and Uncertainty Measurement

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

摘要: 针对文献[21]习提出的覆盖粗糙Vague集模型中幂等性并不成立的问题,提出了一种新的基于近部域的覆盖粗糙Vague集模型,并讨论了相关性质及与工型覆盖粗糙Vague集模型的关系;最后通过引入覆盖粒度空间下知识嫡的概念,定义了一种II型覆盖粗糙Vague集模型的不确定性度量方法。算例分析表明,II型覆盖粗糙Vague模型的不确定性程度随粒度减小而减小。

关键词: 覆盖,粗糙Vague集,知识嫡,不确定性

Abstract: Aiming at the error of idempotent property of the covering rough Vague sets in paper [21],a new covering rough Vague sets model based on neighbor domain was proposed. This paper discussed some related properties and relationship with the first covering rough Vague sets. Finally, we defined a uncertainty measurement method for covering rough Vague sets based on knowledge entropy in covering granular space. Example analysis shows that the uncertainty degree of the second covering rough Vague sets decreases with the decrease of the granularity.

Key words: Covering, Rough Vague sets, Knowledge entropy, Uncertainty

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