Pingping Xiong

Nanjing University of Information Science and Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Hui Shu

Nanjing University of Posts and Telecommunications

Yaoguo Dang

Nanjing University of Aeronautics and Astronautics

Jing Ye

Huazhong University of Science and Technology

Lingshan Hu

Nanjing University of Information Science and Technology

Zheng‐Xin Wang

Zhejiang University of Finance and Economics

Shuli Yan

Nanjing University of Information Science and Technology

Xiaojie Wu

Nanjing University of Information Science and Technology

Wenping Wang

Huaibei Normal University

Kailing Li

Rongcheng City People's Hospital

Peng Mao

Ningbo University of Technology

Cooperative Institutions

Defence Electronics Research Laboratory

Nanjing University of Information Science and Technology

Nanjing University of Aeronautics and Astronautics

Chinese Academy of Sciences

National University of Defense Technology

Nanjing University

Shanghai Jiao Tong University

Chongqing Medical University

University of Electronic Science and Technology of China

Sun Yat-sen University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

MGM(1,m) model based on interval grey number sequence and its applications

Grey Systems Theory and Application (2017)

Pingping Xiong Yue Zhang Bo Zeng Tianxiang Yao

Purpose Aiming at the traditional multivariate grey forecasting model only considers the modelling of real numbers; therefore, the purpose of this paper is to construct an MGM(1, m ) model based on the interval grey number sequences according to the grey modelling theory. Design/methodology/approach First, the multivariable grey number sequences are transformed into the kernel and grey radius sequences which are two feature sequences of interval grey number sequences. Then the MGM(1, m ) model for kernel sequences and grey radius sequences are established, respectively. Finally, the simulation and prediction of the upper and lower bounds of the interval grey number sequences are realized by the reductive calculation of the predicted values of the kernel and grey radius. Findings The model is applied to the prediction of visibility and relative humidity, the identification factors of the haze. The results show that the model has high accuracy on the simulation and prediction of multivariable grey number sequences, which is reasonable and practical. Originality/value The main contribution of this paper is to propose a method to simulate and forecast the multivariable grey number sequence that is to establish the prediction models for the whitening sequences of multivariable grey number sequences which are kernel and grey radius sequences and extend the possibility boundary of kernel by grey radius. The model can reflect the development trend of multivariable grey number sequence accurately. When the grey information is continuously complemented, the multivariable grey number prediction model is transformed into the traditional MGM(1, m ) model. Therefore, the MGM(1, m ) model based on interval grey number sequence is the generalisation and expansion of the traditional MGM(1, m ) model.

Kernel (algebra)

Sequence (biology)

Grey level

10.1108/gs-07-2017-0022

Cite

Citations (12)

Research on Characteristics of Grey Non-equidistant

Yaoguo Dang Pingping Xiong

In this paper multiple transformation method was made for the data series of grey non-equidistant Verhulst model. The least square estimate method was used to get parameters series of multiple transformations. The changes on parameters characteristics of the model under multiple transformations were analyzed, and the affect of multiple transformations to the value of simulation, prediction precision and the relative error of the model were discussed in details. The numerical results show that the sim ulative and predicative results of the model are consistent, while the magnitude of the data is reduced. Kwords-Non-equi distant Verhulst model, multiple transformation, the least square estimate, parameters characteristics

Equidistant

Predicative expression

Square (algebra)

Source

Cite

Citations (0)

Novel weight-adaptive fusion grey prediction model based on interval sequences and its applications

Applied Mathematical Modelling (2022)

Jing Ye Yan Li Zhenzhen Ma Pingping Xiong

Univariate

Prediction interval

Interval arithmetic

10.1016/j.apm.2022.11.014

Cite

Citations (8)

Research of modeling of multi-variable non-equidistant MGM(1,m) model

Kongzhi yu juece (2011)

Pingping Xiong Yaoguo Dang Zhu Hui

Based on the problem of simulation and prediction of the non-equidistant raw data series for the multi-variable with interaction, the multi-variable MGM(1,�� ) model in the case of non-equidistance is modeled and the non-equidistance MGM(1,�� ) model is constructed in order to improve the accuracy of simulation and prediction. The simulation and prediction accuracy is proved to be higher in multi-variable non-equidistant MGM(1,�� ) model than in single-variable non- equidistant GM(1,1) models according to an application. The proposed model is suitable in non-equidistant modeling and equidistant modeling, thus, non-equidistant model has broad applying value.

Equidistant

Source

Cite

Citations (10)

Time-delay nonlinear model based on interval grey number and its application

Journal of Systems Engineering and Electronics (2022)

Pingping Xiong Shiting Chen Shuli Yan

In this paper, an optimization model is proposed to simulate and predict the current situation of smog. The model takes the interval grey number sequence with the known possibility function as the original data, and constructs a time-delay nonlinear multivariable grey model $\text{MGM}(1,m \vert \tau,\gamma)$ based on the new kernel and degree of greyness sequences considering its time-delay and nonlinearity. The time-delay parameter is determined by the maximum value of the grey time-delay absolute correlation degree, and the nonlinear parameter is determined by the minimum value of average relative error. In order to verify the feasibility of the model, this paper uses the smog related data of Nanjing city for simulation and prediction. Compared with the other four models, the new model has higher simulation and prediction accuracy.

10.23919/jsee.2022.000039

Cite

Citations (3)

Combined model based on optimized multi-variable grey model and multiple linear regression

Journal of Systems Engineering and Electronics (2011)

Pingping Xiong Yaoguo Dang Xianghua Wu Xuemei Li

10.3969/j.issn.1004-4132.2011.04.010

Cite

Citations (18)

Characteristics of Non-equidistant Model Based on Multiple Transformation

Journal of Henan University of Science & Technology (2013)

Pingping Xiong

The characteristics of non-equidistant MGM(1,m) model was discussed under the original sequence made by multiple transformation.The calculation formula of parameter vector,simulation prediction values and the relative errors of the non-equidistant MGM(1,m) model after multiple transformations were derived by using the operation nature about matrix.The changes of parameter vector,simulation prediction values and the relative errors after multiple transformations were compared.The results show that simulative and predicative effect of the model is not changed,the magnitude of the data is reduced and the calculating process is simplified when the original data series are made the same times of multiple transformation.The results are also applied to equally spaced model.

Equidistant

Transformation matrix

Sequence (biology)

Predicative expression

Matrix (chemical analysis)

Source

Cite

Citations (0)

Forecasting carbon emissions using MGM(1,m|λ,γ) model with the similar meteorological condition

The Science of The Total Environment (2022)

Xiaojie Wu Pingping Xiong Lingshan Hu Hui Shu

Carbon fibers

10.1016/j.scitotenv.2022.155531

Cite

Citations (14)

G-GERT network model of online public opinion reversal based on kernel and grey degree

Grey Systems Theory and Application (2021)

Shuli Yan Xiangyan Zeng Pingping Xiong Na Zhang

Purpose In recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal. Design/methodology/approach Combined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C -marking method and Z -marking method. Findings Throughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately. Originality/value The G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.

Kernel (algebra)

Degree (music)

10.1108/gs-09-2020-0118

Cite

Citations (5)

The nonlinear time lag multivariable grey prediction model based on interval grey numbers and its application

Natural Hazards (2021)

Pingping Xiong Zou Xia Yingjie Yang

Time lag

10.1007/s11069-020-04476-w

Cite

Citations (11)