Optimizing Multi-objective Functions in Fuzzy Association Rule Mining

摘要

Fuzzy association rule mining is a popular method to discover hidden patterns and associations in quantitative data. With fuzzy logic, fuzzy association rule mining is easier for explainable human linguistics in real-world applications. Finding a better performance of fuzzy association rules and building a more reliable model are two main challenges. Therefore, this paper aims to propose multi-objective functions based fuzzy association rule mining method. It can optimize all of the performance metrics of association rules simultaneously in each optimization step in mining fuzzy association rules.