PENERAPAN LOGIKA FUZZY UNTUK PENYALURAN RASKIN BAGI MASYARAKAT KURANG MAMPU DI KECAMATAN SAGULUNG

Yusli Yenni, Nia Diana
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引用次数: 1

Abstract

This research aims to implement fuzzy logic to determine acceptance Beras Miskin and describe the level of accuracy. implement some of the possibilities in the selection of poor rice Admission for people less able to match. In this study, to analyze Logiak fuzzy using MATLAB software Help. There are 7 information used as input fuzzy. Input fuzzy model using triangular and trapezoidal membership functions to construct fuzzy rules on the 87 data, so there are 54 fuzzy rules. Having obtained fuzzy rules of inference process is then performed and defuzzification. Inference is the method mamdani. Results defuzzification is the value for Determining Acceptance Beras Miskin divided into two categories: Receiving and Not Receiving. Fuzzy model that has been built will be testing the model by determining the level of accuracy and error of the model. With the results of 95.4% with an error of 4.6%.
本研究旨在运用模糊逻辑来确定Beras Miskin的接受度,并描述其准确度水平。实施一些可能性在选择差米录取较不能够匹配的人。本研究利用MATLAB软件Help对Logiak模糊进行分析。有7个信息作为模糊输入。输入模糊模型,利用三角和梯形隶属函数对87个数据构建模糊规则,共54条模糊规则。得到模糊推理规则后,进行推理处理和去模糊化。推理是曼达尼的方法。结果去模糊化是确定接受度的价值,贝拉斯·米斯金将其分为两类:接受和不接受。已经建立的模糊模型将通过确定模型的精度和误差水平来测试模型。结果为95.4%,误差为4.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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