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Rancang Bangun Sistem Pakar untuk Aplikasi Permohonan Kredit pada Koperasi Simpan Pinjam Menggunakan Metode Fuzzy C-means Clustering Berbasis Website

机译:基于模糊C-均值网站聚类方法的储蓄贷款合作社信贷申请专家系统设计

摘要

Savings and Loans Cooperatives act as financial distribution to the public institutions. To determine the level of success in the provision of credit, not only in the admissions decisions and spending money, but also lies in the development of the customers who have assisted with the smooth repayment of credit and loans in accordance with the agreement that has been agreed upon. In identifying credit, the lender (cooperative) need to specify the parameters to be used in the assessment of the feasibility of prospective customers and to evaluate the ability of existing customers pay by using credit scoring system for small and medium enterprise sectorTo classify customers based on the categories needed Fuzzy C-Means Clustering. With this method can help administrators to divide the customer to get credit or not.Keywords : Savings and Loans Cooperatives Customers, Expert Systems, Fuzzy C-Means Clustering
机译:储蓄贷款合作社作为向公共机构的财务分配。要确定提供信贷的成功水平,不仅要考虑入学决定和花钱,还取决于根据已经达成的协议协助顺利偿还信贷和贷款的客户的发展同意;打勾。在识别信贷时,贷方(合作社)需要指定用于评估潜在客户可行性的参数,并使用中小企业领域的信贷评分系统来评估现有客户的支付能力。类别需要模糊C均值聚类。关键字:储蓄与贷款合作社客户,专家系统,模糊C均值聚类

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