Using fuzzy logic (type II) in the intelligent ATMs’ cash management
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 10
Abstract
The mass of the issues facing today's ATMs, cash management optimization can help banks to manage the system dynamically. The main question in this optimization is, forecasting demand for cash from the ATM, at specified time intervals (e.g., daily or weekly or monthly). Since the structure of the signal (the predicted demand for cash) is nonlinear with many factors, including: days, weeks, days, months, holidays, and even the location of the ATM is connected, the common methods of identification is usually not a good answer and should be used soft computing techniques such as fuzzy logic and neural networks. In this study, the trend methods used in this field explores the application of fuzzy logic (type II) in this issue has been dealt with.
Authors and Affiliations
Mojtaba Zandevakili| Tehran payame noor University, Mehdi Javanmard| Tehran payame noor University
Keywords
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