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استخدام المحاكاة للمفاضلة بين بعض الطرائق الحديثة لنموذج GM(1,1) لايجاد القيم المفقودة و تقدير المعلمات مع تطبيق عملي
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The grey system model GM(1,1) is the model of the prediction of the time series and the basis of the grey theory. This research presents the methods for estimating parameters of the grey model GM(1,1) is the accumulative method (ACC), the exponential method (EXP), modified exponential method (Mod EXP) and the Particle Swarm Optimization method (PSO). These methods were compared based on the Mean square error (MSE) and the Mean Absolute percentage error (MAPE) as a basis comparator and the simulation method was adopted for the best of the four methods, The best method was obtained and then applied to real data. This data represents the consumption rate of two types of oils a heavy fuel (HFO) and diesel fuel (D.O) and the use of tests to confirm the accuracy of the grey model. After obtaining the results, the best method to estimate the parameters of the grey model GM(1,1) is the method of the Particle Swarm Optimization method (PSO) It has been used to treatment the missing values ​​in the data and in the prediction where it has been shown to have the best results

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Publication Date
Wed Sep 25 2019
Journal Name
Journal Of The College Of Education For Women
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Publication Date
Wed Jun 14 2023
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Al-academy
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Publication Date
Mon Nov 26 2018
Journal Name
Arab Science Heritage Journal
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Publication Date
Sun Jan 08 2023
Journal Name
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Publication Date
Tue Sep 08 2020
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