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On computational algorithms of grey numbers based on information background

机译:基于信息背景的灰数计算算法

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摘要

Purpose - The purpose of this paper is to redefine the concept of grey number with information background and to propose novel grey number algorithms. Design/methodology/approach - As the basic element of a grey system, grey number is defined as a number of which the true value is unknown because of the limited information while the boundary or possible value set can be known. Grey number algorithms are key points for constructing grey system models and helping to calculate model results. The concept of grey number is redefined with information background in this paper. Novel grey number algorithms are defined considering all the different forms of grey number information background. Several illustrative examples are applied to state the process of the proposed algorithms. Findings - The results show that the novel grey number algorithms can do the operations well no matter what the grey number's type. It is useful to create effective grey system models and to do system analysis, forecasting, decision making and control in grey systems. Practical implications - The method exposed in the paper can be used to calculate different grey numbers and used in constructing new grey models. Originality/value - The paper succeeds in defining new grey number algorithm. The concept and its remarks of grey number are discussed. The novel algorithm can be used in creating new grey models and solve the modelling parameters in of grey systems theory undoubtedly.
机译:目的-本文的目的是重新定义具有信息背景的灰度数概念,并提出新颖的灰度数算法。设计/方法/方法-作为灰色系统的基本元素,灰度值定义为由于信息有限而已知真实值或已知边界或可能值设置的数字。灰数算法是构建灰色系统模型并帮助计算模型结果的关键点。本文以信息背景为背景重新定义了灰数的概念。考虑到灰度信息背景的所有不同形式,定义了新颖的灰度算法。应用了几个说明性示例来陈述所提出算法的过程。结果-结果表明,无论灰度数的类型如何,新颖的灰度数算法都能很好地完成运算。创建有效的灰色系统模型并在灰色系统中进行系统分析,预测,决策和控制非常有用。实际意义-本文中介绍的方法可用于计算不同的灰度值,并可用于构建新的灰度模型。创意/价值-本文成功定义了新的灰数算法。讨论了灰度的概念及其注释。该算法可用于建立新的灰色模型,无疑可以解决灰色系统理论中的建模参数。

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