Developing A Pre-Assessment System for Consumer Loan Applications Via the Simplification of Logical Functions Method

Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/51098

Title:	Developing A Pre-Assessment System for Consumer Loan Applications Via the Simplification of Logical Functions Method
Authors:	Başçiftci, Fatih Yeşil, Erkan
Keywords:	Loan Rating Credit Data Set Simplification of Logical Functions Consumer Loan Expert Systems Expert-System Minimization Diagnosis
Publisher:	IEEE
Abstract:	Individuals may choose to get a consumer loan from banks in order to meet some of their needs. Each bank applies different criteria during the process of consumer loan rating. In this study, an expert system software was developed to evaluate the result of a loan application by using the simplification of logical functions method based on 10 different criteria which are generally accepted in the evaluation of loan applications. This study was tested via the Australian Credit Data Set and a success rate of 80.72% was achieved thanks to the data in the data set.
Description:	57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST) -- JUN 16-18, 2022 -- Ohrid, NORTH MACEDONIA
URI:	https://doi.org/10.1109/ICEST55168.2022.9828679 https://hdl.handle.net/11499/51098
ISBN:	978-1-6654-8500-5
Appears in Collections:	Buldan Meslek Yüksekokulu Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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