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›› 2004, Vol. 30 ›› Issue (18): 136-138.

• 论文 • 上一篇    下一篇

基于粗糙-模糊集理论的智能化构件选取

李敏 ,胡金柱 ,费丽娟 ,王军   

  1. 华中师范大学计算机科学系,软件工程国家重点实验室 武汉 430079
  • 发布日期:2004-09-25

Intelligent Component Selecting Based on Rough-fuzzy Sets Theory

LI Min,HU Jinzhu,FEI Lijuan,WANG Jun   

  1. (Department of Computer Science, Central China Normal University,Wuhan 430079;State Key Laboratory of Software Engineering,Wuhan 430072)
  • Published:2004-09-25

摘要: 对传统的构件库体系结构进行改进,提出了一种层次型智能构件库体系结构,并在此基础上,提出了一种基于粗糙-模糊集理论的智能化重用构件选取方法,并给出了相应的算法,实例研究表明该方法可以客观地给出重用方案的决策信息,能够提高构件重用的效率和准确率。

关键词: 粗糙-模糊集, 构件库, 构件检索, 体系结构

Abstract: This paper puts forward a new layered intelligent architecture of component repository, on which also puts forward a new intelligent component selecting approach based on rough-fuzzy sets theory and provides corresponding algorithm. The case study shows that this approach can objectively provide reuse decision and improve the efficiency and correctness of component reuse.

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