Research on Fuzzy Data Mining Based on MAX-MIN Ant System
Xiaowei Lin, Hongyu Jia, Cuicui Song · 2009
The application of intelligent optimization algorithm in data mining has become widespread already. However, it's still a brand new research area in the application of Ant Colony Algorithm(ACA) in data mining. This paper thus proposes a fuzzy data mining algorithm which is based on MAX-MIN Ant System(MMAS). In this algorithm, the membership functions which are extracted from the classification rule are first encoded into binary bits and then imported to the MMAS to obtained the final set of membership functions, finally, this set was used to mine fuzzy association rule from the database by fuzzy mining algorithm. A numerical experiment is given to demonstrate the effectiveness of this algorithm.