Construction of the Transfer Model by Using Fuzzy Data: A Comparative Study

Esraa Saleh
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Abstract

This research consists of using some statistical techniques to study time series for universal prices of wheat as output series and universal product of wheat as input series. By using transfer function on stationary data first , and secondly on stationary fuzzy data , then compare between these two cases to obtain the best transfer function model for data through forecasting criteria to comparing between these two cases .The most suitable model for this data was the transfer function model for stationary fuzzy data because it has minimum value for forecasting criteria
利用模糊数据构建转移模型的比较研究
本研究采用统计方法研究小麦普遍价格作为产出序列和小麦普遍产量作为投入序列的时间序列。首先在平稳数据上使用传递函数,然后在平稳模糊数据上使用传递函数,然后对这两种情况进行比较,通过对两种情况的预测准则进行比较,得到数据的最佳传递函数模型,其中平稳模糊数据的传递函数模型最适合该数据,因为它的预测准则值最小
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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