HEDGES ALGEBRAS AND PROBLEM FUZZY PARTITION FOR QUALITATIVE ATTRIBUTES
Anh Tuan Nguyen, Trran Thai Son · Journal of Computer Science and Cybernetics · 2017
There have been many approaches proposed to derive membership functions for mining fuzzy association rules using genetic algorithms (GAs) and show their advantages.However, these approaches show that the number of linguistic terms needs to be predefined.In this paper, the author proposed a new method to construct the membership functions (MFs) based on database.The theory of hedge algrebra was used to build the membership functions and GA is applied to optimize them.The experimental results demonstrate the benefits of this method.