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.
中图分类号:
李敏
,胡金柱
,费丽娟
,王军. 基于粗糙-模糊集理论的智能化构件选取[J]. , 2004, 30(18): 136-138.
LI Min,HU Jinzhu,FEI Lijuan,WANG Jun. Intelligent Component Selecting Based on Rough-fuzzy Sets Theory[J]. , 2004, 30(18): 136-138.