AN ALGORITHM: FILLING THE MISSING VALUES IN THE INCOMPLETE DECISION TABLE
This paper proposes a new algorithm for filling the missing values in the incomplete decision table based on extended models of rough sets theory with respect to limited tolerance relation. The algorithm can have the consistence of completed decision table by way of computing the similar degree between objects and limited tolerance relation. It is improvement of ROILSTIDA algorithm, and the experiment shows the new algorithm is more efficient and universally applicable.
Rough sets Decision Table Indiscernibility Relation Tolerance Relation Limited Tolerance Relation
MING-FEN WU TING-LIANG WANG
School of Information, Wuyi University, Jiangmen, Guangdong, 529020, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
190-195
2008-07-12(万方平台首次上网日期,不代表论文的发表时间)