关键词: 模糊集, 粗糙集, 三角隶属度函数, 相似矩阵, 属性约简

Abstract: To solve the problems of low adaptability for continuous domain reduction and the disadvantage of failing to obtain eventual relationship among the fuzzy sets, a new attribute reduction algorithm of decision table was proposed based on Hard C-Means (HCM) clustering. First, continuous attribute values were transformed into fuzzy values with triangular membership function, and then the algorithm of HCM clustering was provided to obtain relationship among the fuzzy sets. In the end, the simulation results show the effectiveness of the proposed method.

Key words: Fuzzy Set, Rough Set, Triangular Membership Function, Similar Matrix, Attribute Reduction