计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (24): 125-128.

• 数据库、信号与信息处理 • 上一篇    下一篇

云模型的隶属概念判定中阈值生成

张家精1,王焕宝1,倪友聪1,陈金兰2   

  1. 1.安徽建筑工业学院 数理系,合肥 230601
    2.安徽建筑工业学院 机械与电气工程学院,合肥 230601
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-08-21 发布日期:2011-08-21

Generating thresholds to determine membership concepts based on cloud model

ZHANG Jiajing1,WANG Huanbao1,NI Youcong1,CHEN Jinlan2   

  1. 1.Department of Maths & Physics,Anhui University of Architecture,Hefei 230601,China
    2.School of Mechanical and Electrical Engineering,Anhui University of Architecture,Hefei 230601,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-08-21 Published:2011-08-21

摘要: 在基于云模型的隶属概念判定算法中,人工给定的阈值不能根据对象隶属的多个概念的特征进行调整,从而影响到判定算法的适应性。基于云模型的“[3σ]规则”,提出一种自适应阈值生成算法。由其得到的阈值用于基于云模型的隶属概念判定算法,不仅使得原有的隶属概念判定算法可适用于不同特征的概念,而且使其更加符合人们的认识规律。阈值生成算法在不确定性的定性定量转换方面也具有较高的应用价值。

关键词: 云模型, 隶属概念, 不确定性, 阈值生成算法

Abstract: The fixed threshold can not be adjusted to characteristics of concepts among objects in algorithms for determining the membership concepts based on cloud model,which makes them against the adjustability of algorithms.The algorithm for generating self-adaptive thresholds is proposed according to the 3σ rule in cloud model,and is applied to determine membership concepts,based on which the new algorithm for determining membership concepts is produced.The new algorithm extends characteristics of concepts among objects to universal law of cognition,and is widely applied to uncertain qualitative and quantitative transition problems.

Key words: cloud model, membership concept, uncertainty, algorithm for generating threshold