Floating approximation in time-varying knowledge bases
暂无分享,去创建一个
Abstract In this paper a new concept of Floating Approximation is introduced. It is based on Pawlaks theory of Rough Sets and the existence of ‘hidden attributes’ in knowledge representation systems. After explaining the motivation, a simplified algorithm developed and implemented by the author is described. First experience is reported and some ideas for further research are suggested.
[1] J W Grzymala-Busse. On the reduction of knowledge representation systems , 1987 .
[2] S. K. Michael Wong,et al. Comparison of Rough-Set and Statistical Methods in Inductive Learning , 1986, Int. J. Man Mach. Stud..