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Fuzzy Rule Base for Analytical Demand Forecasting Enhancement

机译:增强分析需求预测的模糊规则库

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摘要

Demand data can be viewed as a number series from time to time. The series may be a pattern that can be analized for the next demand prediction if the slice of time is constant. The demand series which the time slice is constant can forecast the next demand valued by aplying a formula. There are many methods to forecast the next demand. All formulas calculate the next demand by using the fact of demand as a pure number series. The next demand value is derived from analitical process using mathematics equation, from the simplest way to the complex one. In fact, the demand is influenced by environtment factor, for example social and politics exchange, disaster, and mode. The demand forecasting must be reevaluated by considering the environtment factors. The environtment factor usually has uncertainty value which is good using fuzzy value. That is why the best way to enhance the demand forecasting is calculation using fuzzy rule base.
机译:需求数据可以不时地视为一个数字序列。如果时间段是恒定的,则该序列可以是可以针对下一个需求预测进行分析的模式。时间片恒定的需求序列可以通过应用公式来预测下一个需求值。有很多方法可以预测下一个需求。所有公式都使用需求事实作为纯数字序列来计算下一个需求。从最简单的方法到复杂的方法,使用数学方程式从分析过程中得出下一个需求值。实际上,需求受环境因素影响,例如社会和政治交流,灾难和方式。必须通过考虑环境因素来重新评估需求预测。环境因子通常具有不确定性值,使用模糊值可以确定该值。这就是为什么增强需求预测的最佳方法是使用模糊规则库进行计算。

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