Title :
The VPRS Model Based on Set Pair Analysis in Incomplete Fuzzy Information System
Author :
Wang, Hua-Kui ; Jia, Ruo-Si ; Wu, Juan-Ping ; Han, Ying-Zheng ; Zhang, Bin ; Feng, Li-Li
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory, set pair analysis(SPA), put forward a feasible model and a precision reduction method, did some work on improving class precision in rough set.
Keywords :
approximation theory; fuzzy set theory; information systems; rough set theory; VPRS model; fuzzy set theory; incomplete approximation space; incomplete fuzzy information system; on set pair analysis; precision reduction method; precision theory; rough set theory; set pair analysis; variable precision rough set model; Analytical models; Approximation methods; Context; Data models; Information systems; Noise; Set theory; Incomplete Fuzzy Information Systems; Precision Reduction; SPA; VPRSM;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.15
