SUGENO生物模糊的遗传系统在决定RAHN的资金分配时的应用

Rahmawati Rahmawati, N. Nurjannah, Ade Novia Rahma, Zukrianto Zukrianto
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引用次数: 0

摘要

黄金价格和通货膨胀率是分析伊斯兰贷款融资分布发展的一些正确指标。本研究旨在根据2018-2019年当铺黄金平均价格和印度尼西亚通货膨胀率来确定rahn融资分配的数量。在本研究中,采用Sugeno的模糊推理系统(FIS)方法来确定Rahn的融资分配金额。在FIS Sugeno方法中使用的步骤是模糊集的形成,隐含和肯定函数的应用(去模糊化)。基于FIS Sugeno方法,计算PT. Pegadaian (Persero) Branch Syariah Subrantas Pekanbaru 2018年1月rahn融资总分布的结果为252.642.105,准确率为89.44%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENERAPAN FUZZY INFERENCE SYSTEM SUGENO DALAM MENENTUKAN PENYALURAN PEMBIAYAAN RAHN
The price of gold and the inflation rate are some of the right indicators to analyze the development of sharia rahn mortgage financing distribution. This study aims to determine the amount of rahn financing distribution based on the average gold price of pawnshops and Indonesia's inflation rate in 2018-2019. In this study, Sugeno's fuzzy inference system (FIS) method was used to determine the amount of Rahn's financing distribution. The steps used in the FIS Sugeno method are the formation of fuzzy sets, application of implication and affirmation functions (defuzzification). Based on the FIS Sugeno method, the results of the calculation of the total distribution of rahn financing of PT. Pegadaian (Persero) Branch Syariah Subrantas Pekanbaru in January 2018 was obtained at 252.642.105 with an accuracy value of 89.44%.
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