Abstract—The Aim of this paper is to develop a generalized fuzzy decision system for all the customers who have applied for loans from any Banks in India. Before the Sanction or final Approval of the loans, the Bank’s Management Authorities need to take into consideration of various factors related to the respective customers like Age, Annual Income, Loan Repay, Monthly Transaction, Account Balance, and Security Deposits. The Bank obtains sufficient details about all the customers who have applied for Loans and the management authorities give their opinion linguistically about the various factors of each customer. Then a decision is taken to find out the most desired customer to avail the Loan. A Requirement Fuzzy Subset has been formulated. A Relationship is formed between the customers applied for loan and Management’s opinion using the Fuzzy subset representation. The Index of Fuzziness of various Management Authorities are measured and compared. A decision system has been developed using fuzzy distance Approach to select the most desired customer for availing the Loan.

Index Terms—Fuzzy Distance Measures, Fuzzy Hamming Distance, Fuzzy Hurwicz’s Decision Set, Loan Evaluator.

The Author is currently with Dr. B.C Roy Engineering College, Durgapur,West Bengal, India as Sr. Lecturer of Computer Science & Engineering,Department. Ph.:+919434648373.

Cite: Suvobrata Sarkar, "Fuzzy Decision System for Banking Services," International Journal of Computer and
Electrical Engineering vol. 1, no. 4, pp. 410-413, 2009.