Autonomous rule induction from data with tolerances in customer relationship management

► A novel rough set based approach for autonomous decision support to CRM is proposed. ► The transformation procedure allows the user to input continuous data with tolerance. ► The proposed AREA method is able to derive decision rules effectively and efficiently. ► The proposed model is proven with validity and reliability by an empirical data of CRM. ► This study forms the basis for solving many similar problems in the service industry. ►