A New Multivariable Grey Convolution Model Based on Simpson’s Rule and Its Applications
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-27
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Accurate estimations can provide a solid basis for decision-making and policy-making that have experienced some kind of complication and uncertainty.
Accordingly, a multivariable grey convolution model (GMC (1, n)) having correct solutions is put forward to deal with such complicated and uncertain issues, instead of the incorrect multivariable grey model (GM (1, n)).
However, the conventional approach to computing background values of the GMC (1, n) model is inaccurate, and this model’s forecasting accuracy cannot be expected.
Thereby, the drawback analysis of the GMC (1, n) model is conducted with mathematical reasoning, which can explain why this model is inaccurate in some applications.
In order to eliminate the drawbacks, a new optimized GMC (1, n), shorted for OGMC (1, n), is proposed, whose background values are calculated based on Simpson’ rule that is able to efficiently approximate the integration of a function.
Furthermore, its extended version that uses the Gaussian rule to discretize the convolution integral, abbreviated as OGMCG (1, n), is proposed to further enhance the model’s forecasting ability.
In general, these two optimized models have such advantages as simplified structure, consistent forecasting performance, and satisfactory efficiency.
Three empirical studies are carried out for verifying the above advantages of the optimized model, compared with the conventional GMC (1, n), GMCG (1, n), GM (1, n), and DGM (1, n) models.
Results show that the new background values can effectively be calculated based on Simpson’s rule, and the optimized models significantly outperform other competing models in most cases.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ding, Song& Li, Ruojin. 2020. A New Multivariable Grey Convolution Model Based on Simpson’s Rule and Its Applications. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1141954
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ding, Song& Li, Ruojin. A New Multivariable Grey Convolution Model Based on Simpson’s Rule and Its Applications. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1141954
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ding, Song& Li, Ruojin. A New Multivariable Grey Convolution Model Based on Simpson’s Rule and Its Applications. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1141954
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1141954
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر