taptap下载安装安卓学报

• 基础研究 • 上一篇    

条件先验概率优势关系粗糙集模型

陶志,何丹峰,潘丽平   

  1. (taptap下载安装安卓理学院,天津300300)
  • 收稿日期:2016-09-18 修回日期:2016-11-23 出版日期:2017-06-15 发布日期:2017-07-11
  • 作者简介:陶志(1963—),男,辽宁沈阳人,教授,博士,研究方向为复杂系统建模、粗糙集理论及其应用等.
  • 基金资助:

    国家自然科学基金项目(60672178);taptap下载安装安卓科研基金项目(2010kys01)

Rough set model based on conditions prior probability dominance relation

TAO Zhi, HE Danfeng, PAN Liping   

  1. (College of Science, CAUC, Tianjin 300300, China)
  • Received:2016-09-18 Revised:2016-11-23 Online:2017-06-15 Published:2017-07-11

摘要:

基于先验概率优势关系的粗糙集模型是对粗糙集理论的重要扩充,然而却有其不足之处。本研究提出的基于条件先验概率优势关系的粗糙集模型是建立在对不完备偏序关系决策系统属性值数据统计的基础上,既考虑到同一属性取值的不同情况又考虑到不同属性之间的关联性,充分利用各种先验信息,因此有效提高了分类精度和分类质量。理论分析和实例计算均证明了该模型的有效性和实用性。

关键词: 粗糙集, 不完备偏序关系决策系统, 条件先验概率优势关系

Abstract:

Rough set model based on prior probability dominance relation is an important expansion of rough set theory.However, it has its own defects and shortcomings. Rough set model based on conditions prior probability dominance relation is established on the basis of attribute value data statistics of incomplete partial order relation decision system. It not only takes into account different conditions of the same attribute values, but also the correlation between different attributes, so that a variety of prior information can be fully utilized. Therefore, the classification accuracy and quality can be improved effectively. This new model is proved to be effective and practical by theoretical analysis and practical example.

Key words: rough set, incomplete partial order relation decision system, conditions prior probability dominance relation

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