FLOATING APPROXIMATION IN TIME-VARYING KNOWLEDGE BASES

作     者：KUBAT, M 

作者机构：Technical University of Brno Computing Center Obráncû míru 21 Brno Czechoslovakia 

出 版 物：《PATTERN RECOGNITION LETTERS》 (模式识别快报)

年 卷 期：1989年第10卷第4期

页      面：223-227页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：floating approximation Knowledge acquisition pattern recognition algorithm rough sets 

摘      要：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.