A fuzzy TOPSIS-ANN based model for ATM manufacturers in banking scope

Abstract

Vendor assessment is essential to banks for making an efficient service plan. This paper develops an evaluation fuzzy method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and artificial neural network (ANN) for Vendor and performance evaluation in a fuzzy environment where the vagueness and subjectivity are handled with linguistic value parameterized by triangular fuzzy numbers. We apply this approach to evaluate Automated teller machine (ATM) manufactures in banking Scope to verify the assessment method based on FTOPSIS and ANN and demonstrate its feasibility and practicality.