Co-integration analysis between GDP and meteorological catastrophic factors of Nanjing city based on the buffer operator

Guo, Chonglan; Xu, Xiaoxia; Gong, Zaiwu

doi:10.1007/s11069-013-0669-z

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…WBO proposed by Liu et al has been widely used to deal with disturbance (Liu et al, 2006;Liao et al, 2012;Zhu et al, 2012;Guo et al, 2014;Wang and Wang, 2013;Ye et al, 2010). However, traditional WBOs have a limited resolution, which leads to problems that the buffer effect may be too strong or too weak.…”

Section: Yearmentioning

confidence: 99%

Using fractional order weakening buffer operator to forecast the main indices of online shopping in China

Gao

2019

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Purpose The purpose of this paper is to predict the main economic indices of online shopping in China. Design/methodology/approach A fractional order weakening buffer operator (WBO) for the GM(1,1) model is put forward in order to solve the problem of limited nonlinear data. The order number of WBO can adjust in line with the scenario. Findings The experimental results indicate that the proposed method can consider the scenario and obtain more accurate forecasting results. Originality/value This study found that the slowdown of growth trend after the previous high speed expansion period will continue, and the online shopping sellers should make more efforts to develop potential consumers to increase its turnover.

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Section: Yearmentioning

confidence: 99%

Using fractional order weakening buffer operator to forecast the main indices of online shopping in China

Gao

2019

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“…Wang and He constructed a kind of full-information variable weight weakening bu er operator and strengthening bu er operator [11]. Guo et al proposed a kind of bidirectional weakening bu er operator, which also considered the in uence of new information on old information [13].…”

Section: Introductionmentioning

confidence: 99%

A Kind of Weakening Buffer Operators with Time-Varying Parameters and Their Applications

Gao¹,

Liu

2022

Mathematical Problems in Engineering

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Buffer operators can effectively weaken the impact disturbance of the system and restore the original appearance of the system. However, the buffer strength of the existing buffer operator is fixed, and the buffer strength cannot be adjusted. So the buffer effect for the system impact disturbance is not flexible enough, and the accuracy of the prediction model established is not high. In order to solve this problem, this paper proposes weakened buffer operators with time-varying parameters, analyzes the properties of the newly constructed buffer operator, and proves the superiority of the new buffer operators theoretically. Finally, the new buffer operators proposed in this paper are applied to the prediction of the number of employees in China’s air transport industry and the unsafe events in China’s civil aviation. The results show that the proposed buffer operators are better than the existing buffer operators, which further verify the validity and practicability of the proposed buffer operators.

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“…That is not the problem of selection better model; instead, when a system is severely affected by shock, the available data of the past can not truthfully reflect the law of the system. Under the circumstances, buffer operator of grey system theory [7] has been successfully used in many fields to overcome the above difficulties [8][9][10][11][12][13], it combines quantitative and judgmental forecast (qualitative analysis). Many kinds of buffer operators have been proposed simultaneously [14][15][16][17][18], how to choose a suitable kind of buffer operator is very important in practice.…”

Section: Introductionmentioning

confidence: 99%

Using the fractional order method to generalize strengthening buffer operator and weakening buffer operator

Liu

Yang

2018

IEEE/CAA J. Autom. Sinica

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Abstract-Traditional integer order buffer operator is extended to fractional order buffer operator, the corresponding relationship between the weakening buffer operator and the strengthening buffer operator is revealed. Fractional order buffer operator not only can generalize the weakening buffer operator and the strengthening buffer operator, but also realize tiny adjustment of buffer effect. The effectiveness of GM(1,1) with the fractional order buffer operator is validated by six cases.Index Terms-fractional order; grey system theory; strengthening buffer operator; weakening buffer operator.

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Co-integration analysis between GDP and meteorological catastrophic factors of Nanjing city based on the buffer operator

Cited by 10 publications

References 13 publications

Using fractional order weakening buffer operator to forecast the main indices of online shopping in China

Using fractional order weakening buffer operator to forecast the main indices of online shopping in China

A Kind of Weakening Buffer Operators with Time-Varying Parameters and Their Applications

Using the fractional order method to generalize strengthening buffer operator and weakening buffer operator

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