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Optimum Allocation of Credits to Borrowers in Agricultural Different Sections by Fuzzy Logic
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Farzad Karimi *   , Mehdi Zahedi Keyvan |
| , f_karimi110@yahoo.com |
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Abstract: (13651 Views) |
| Regarding to agricultural sector importance and many managers efforts in order to mechanization and increasing of efficiency and productivity this sector in Iran, lead to necessity of banking credits allocation in order to protection of its producers. This study intends to assist economic managers by a Multiple Attribute Mathematical Programming model that is based on Fuzzy Logic for optimum allocation of banking credits to borrowers in agricultural different sections, as constraints of bank insert in decision making model and bank management gain most desirability. Present study done for agricultural bank of Iran. The results of study indicated that optimum model in allocation of banking credits should change and consist of 13.24% tillage, 5.01% husbandry, 11.62% animal husbandry, 5.01% birds, 6.62% fishery, 5.01% natural resources, 5.01% agricultural machines, 18.24% agricultural services, 23.25% agricultural industries and 7.01% Non agriculture sectors. Consequently, current allocation of credits is not optimum in bank agricultural of Iran and this bank need to reform and adjustment in percents and credits quantity. |
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| Keywords: Allocation of Banking Credits, Agricultural Sector, Fuzzy Logic, Multiple Attribute Decision Making, Uncertainty |
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Full-Text [PDF 433 kb]
(6179 Downloads)
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Type of Study: Research |
Subject:
General
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