Title :
Measures of basic information based on information systems of rough sets
Author :
Xu, Jiucheng ; Shen, Junyi ; An, Qiusheng
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Abstract :
Based on the idea of rough sets, the paper systematically discuss attribute importance, the similarity between attribute values and the similarity between objects in an information system, and propose their corresponding measuring methods respectively. These measuring methods are very useful to study characteristics and properties of different information, and they can be used to dispose the questions of cluster analysis and uncertainty reasoning in an information system.
Keywords :
inference mechanisms; information systems; pattern clustering; rough set theory; statistical analysis; attribute importance; cluster analysis; information systems; rough sets; uncertainty reasoning; Clustering algorithms; Clustering methods; Fuzzy systems; Information analysis; Information systems; Large-scale systems; Rough sets; System testing; Time measurement; USA Councils;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342010