The VPRS Model Based on Set Pair Analysis in Incomplete Fuzzy Information System

Autor: Ying-zheng Han, Juan-ping Wu, Li-li Feng, Hua-kui Wang, Ruo-si Jia, Bin Zhang
Rok vydání: 2010
Předmět:
Zdroj: 2010 International Conference on Artificial Intelligence and Computational Intelligence.
DOI: 10.1109/aici.2010.15
Popis: 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.
Databáze: OpenAIRE