Application of Fuzzy Logic to Find Out the Amount of Spending Money at the Bank

D. Upuy, Feronika Leunupun, Y. A. Lesnussa, Z. A. Leleury, Arlene H. Hiariey
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Abstract

Banking is an important part of the financial system for smoothly running a country's economic activities. Quality of service is a form of consumer assessment of the level of service, and the factors that influence service quality include factors of employees, systems, technology, and customer involvement. Banking services are carried out to make it easier for customers to make transactions. The needs faced by customers cause the spending of money at the bank to be often not properly controlled. For example, for money withdrawn in large or small amounts for daily needs, fuzzy logic is used to make it easier for customers to know the amount of money spent each month. Given these problems, the authors are motivated to do further research in solving the case with the fuzzy method. Based on the data obtained from the bank, by utilizing fuzzification, fuzzy inference, and fuzzy rule base, as well as defuzzification of fuzzy logic, fuzzy logic can be applied to determine the amount of money spent. The research results show nine sales functions (Membership Function) from two input parameters, namely withdrawal of money and remaining balance. The linguistic variables used are Little Expenditure, Moderate Expenditure, Much Expenditure, Little Balance, Moderate Balance, and Many Balance.
模糊逻辑在确定银行消费金额中的应用
银行业是一国经济活动顺利运行的金融体系的重要组成部分。服务质量是消费者对服务水平的一种评价形式,影响服务质量的因素包括员工、制度、技术和顾客参与等因素。银行服务的开展是为了方便客户进行交易。客户面临的需求导致银行的资金支出往往得不到适当的控制。例如,对于日常需要的大额或小额取款,使用模糊逻辑,使客户更容易知道每个月的花费金额。鉴于这些问题,作者有动力进一步研究用模糊方法解决问题。根据从银行获得的数据,通过模糊化、模糊推理、模糊规则库以及模糊逻辑的去模糊化,可以应用模糊逻辑来确定花费的金额。研究结果显示,从提款和结余这两个输入参数中可以得到9个销售函数(Membership Function)。使用的语言变量是少支出、适度支出、多支出、少平衡、适度平衡和多平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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