计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (13): 207-210.DOI: 10.3778/j.issn.1002-8331.2009.13.061

• 工程与应用 • 上一篇    下一篇

模糊粗糙集的鱼病规则获取方法

徐妙君,顾沈明   

  1. 浙江海洋学院 数理与信息学院,浙江 舟山 316004
  • 收稿日期:2008-11-14 修回日期:2009-01-22 出版日期:2009-05-01 发布日期:2009-05-01
  • 通讯作者: 徐妙君

Method of rule acquisition in fish disease diagnosis based on fuzzy rough set

XU Miao-jun,GU Shen-ming   

  1. School of Mathematics,Physics & Information Science,Zhejiang Ocean University,Zhoushan,Zhejiang 316004,China
  • Received:2008-11-14 Revised:2009-01-22 Online:2009-05-01 Published:2009-05-01
  • Contact: XU Miao-jun

摘要: 针对鱼病诊断中存在随机性、诊断信息的模糊性和信息获取的不完备性等不确定因素。首先给出模糊的鱼病诊断过程,由于该方法存在模糊诊断矩阵较难获取的缺点。利用粗糙集理论无需先验知识的优点,将粗糙集理论和模糊集结合用于鱼病的诊断中。鱼病的症状模糊集形成条件属性,疾病模糊集形成决策属性构成模糊信息表,给出了模糊信息表属性约简和鱼病诊断规则获取的算法步骤,最后以实例演示了鱼病诊断的规则获取过程。论文为鱼病的诊断提供了一种全新的方法。

关键词: 粗糙集, 模糊集, 鱼病诊断, 模糊信息表, 包含度, 模糊粗糙集

Abstract: Such uncertainties are addressed as randomness of fish diseases diagnosis,fuzziness of diagnostic information and incompleteness of information acquisition.A fuzzy process in diagnosing fish diseases is illustrated firstly,the challenge of which lay in obtaining the matrix.As rough set theory called for no priori knowledge,it is then employed in diagnosing fish diseases.The symptoms of fish diseases fuzzy sets form condition attribute and the decision attribute from disease fuzzy set make up a fuzzy information table.Fuzzy information table attribute reduction and algorithms steps of rule acquisition of fish diseases diagnosis are analyzed.An example is finally demonstrated about the diagnostic process of the rules acquisition of fish diseases so as to provide a new method in fish disease diagnosis.

Key words: rough set, fuzzy set, fish disease diagnosis, fuzzy information table, inclusion degree, fuzzy rough set