敬加强. 基于模糊灰色理论的原油聚类分析方法[J]. 油气储运, 1999, 18(4): 40-43.
引用本文: 敬加强. 基于模糊灰色理论的原油聚类分析方法[J]. 油气储运, 1999, 18(4): 40-43.
Jing Jiaqiang. A Classification Analysis Method of Crude Oil Based on Fuzzy and Grey Thoery[J]. Oil & Gas Storage and Transportation, 1999, 18(4): 40-43.
Citation: Jing Jiaqiang. A Classification Analysis Method of Crude Oil Based on Fuzzy and Grey Thoery[J]. Oil & Gas Storage and Transportation, 1999, 18(4): 40-43.

基于模糊灰色理论的原油聚类分析方法

A Classification Analysis Method of Crude Oil Based on Fuzzy and Grey Thoery

  • 摘要: 在原油四因素分类标准的基础上, 提出了一种原油模糊聚类分析的新方法。模糊聚类分析方法的关键在于评价因素的隶属度和权重的确定, 而隶属度和权重的确定往往受人为因素的影响很大, 这必然严重影响评价结果的合理性。因此根据评价对象、评价因素集及评价目标, 提出了以原油粘度为参考因素, 运用各因素的灰色关联度确定其权重的新思路; 同时根据岭形系列曲线的特点, 导出了确定单因素隶属度的计算关系式。阐明了该方法的基本原理及实施程序, 用算例说明了该方法的具体应用。该方法在理论上是科学的, 而且很容易程序化, 为原油聚类分析提供了一种有效的手段。

     

    Abstract: In the light of the classification standards of crude oil with four factors, a new method of fuzzy classification analysis for crude oil is developed. The key of this method lies in the determination of membership grades and weights, while their determinations are usually influenced by various personal factors largely. This must affect the reasonableness of the evaluation results severely. Therefore, according to the assessing subjects and factors and objects, this paper presents a new idea for their weight to be determined by the grey relational grades based on the referential factor, viscosity of crude oil. At the same time the formula ot the membership grade for each factor is deduced according to the properties of mountain-type curve series. The basic principle, processing method and practical application are discussed. This method is scientific in thoery and very ease programming, which provides an effective means for the classification of crude oil.

     

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