Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking

摘要: The potential fraud problems, international economic crisis and the of confidence in markets have affected financial institutions, which tried to maintain customer trust many different ways. To level implementation electronic banking for customers has been considered a successful strategy. However, parameters that define user not analysed detail due lack experience recent use e-banking. This paper aims determine variables are relevant by applying machine learning techniques as multi-objective genetic algorithms preparation business strategies improve profitability. tuned following indications given experts their results validated them, setting reliability. There is also comparison among fitness functions used evolution process able rank subset encoded individuals.