id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tpfrk7xqvngs7h5t7mqmquu5eu	Mustafa Menekay	Bank Credit Authorization Using Fuzzy Expert System	2016	4	.pdf	application/pdf	1840	172	50	Bank credit authorization using fuzzy expert system Bank credit authorization using fuzzy expert system important information as growth in sales, return to stockholders, profit margins, return on equity and credit risks. can be combined, analyzed and used by fuzzy expert systems to support many important financial decisions in credit analysis and stockholders, profit margins, return on equity and credit risk are measures of economic and financial performance shown the credit analysis and authorization depend on many factors and it is characterized by risky and uncertain credit analyzer to make decision, must possess professionalism, wide knowledge about problem domain. analysis the main factors that are dominant in credit assignment have been determined. repayment, ability to manage, and credit risk depends on many factors. business stability of client, number of missed credit payments, asset/debt ratio, bond rating. In the developed ES using results of credit analysis the knowledge base is created.	./cache/work_tpfrk7xqvngs7h5t7mqmquu5eu.pdf	./txt/work_tpfrk7xqvngs7h5t7mqmquu5eu.txt