Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (11): 59-61.DOI: 10.3778/j.issn.1002-8331.2009.11.018

• 研究、探讨 • Previous Articles     Next Articles

fp-state of systems and its random recognition

ZHANG Ling1,CAI Cheng-wen2,QIU Yu-feng1   

  1. 1.School of Mathematics and Computer Science,Longyan University,Longyan,Fujian 364000,China
    2.School of Control Science and Engineering,Shandong University,Jinan 250061,China
  • Received:2008-03-06 Revised:2008-05-26 Online:2009-04-11 Published:2009-04-11
  • Contact: ZHANG Ling

系统的fp-状态与它的随机识别

张 凌1,蔡成闻2,邱育锋1   

  1. 1.龙岩学院 数学与计算机科学学院,福建 龙岩 364000
    2.山东大学 控制科学与工程学院,济南 250061
  • 通讯作者: 张 凌

Abstract: Using function one direction S-rough sets (function one direction singular rough sets),this paper presents the concepts of fp-state,the distance of state,and the system state being randomly disturbed by fp-law.By employing these concepts,the state characteristics while the system state is disturbed by fp-law,the recognition to these state characteristics,the recognition criterion and applications are given.Function one direction S-rough sets is one of the basic forms of function S-rough sets (function singular rough sets).Function one direction S-rough sets is an important theory and method to research the inbreak forecast of system law.

Key words: function one direction S-rough sets, fp-state, inbreak forecast, random characteristic, random recognition criterion

摘要: 利用函数单向S-粗集,提出了fp-状态、状态距离、系统状态被fp-规律随机入侵的概念。利用这些概念,给出系统状态被fp-规律入侵呈现的状态特征以及对这些状态特征的识别、识别准则与应用。函数单向S-粗集是函数S-粗集的基本形式之一,函数单向S-粗集是研究系统规律入侵预测的一个重要的理论与方法。

关键词: 函数单向S-粗集, fp-状态, 入侵预测, 随机特征, 随机识别准则