Title of article :
Fuzzy Rules Extraction Based on Deterministic Data (Case Study: Bank s Customers Rating)
Author/Authors :
Sadeghian, Ramin payame noor university - Industrial Engineering Group, تهران, ايران , Gholamaliei, Behnam bu ali sina university of hamadan - Engineering Department, Industrial Engineering Group, همدان, ايران , Payandeh Peyman, Leila bu ali sina university of hamadan - Engineering Department, Industrial Engineering Group, همدان, ايران
Abstract :
Financial institutions and banks are the type of organizations whose customer rating is very valuable. In the present paper, two algorithms are proposed and compared that can extract some fuzzy rules from deterministic data. Each fuzzy rule may be used as a class of customers. In the first algorithm, a method is proposed based on both experiment and fuzzy theory. In the second algorithm a heuristic approach is proposed. Additionally, for more explanations a case study in a real bank is presented.
Keywords :
Bank s Customers Rating , Fuzzy Rules Extraction , Deterministic Data Clustering , Linguistic Labels
Journal title :
Jordan Journal of Mechanical and Industrial Engineering
Journal title :
Jordan Journal of Mechanical and Industrial Engineering
