Anhui University of Finance and Economics

www.aufe.edu.cn
Bengbu, China

Anhui University of Finance and Economics , is an institution of higher learning in Bengbu, Anhui Province of the People's Republic of China. Wikipedia.

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Liu N.,Anhui University of Finance and Economics
Journal of Computational and Theoretical Nanoscience | Year: 2016

By analyzing and researching on Chinese sports industry listed companies operation performance, and on the basis of formers' researches, targeted at Chinese sports industry listed companies current situation, the paper selects eight companies (China sports industry, HL CORP, Toread, Peak, X-step, China Dongxiang, Anta and Li Ning) to make researches, applies factor analysis method, selects seventeen financial indicators factors by companies, and finally puts forward company operation factor, company development growth factor, company profit earning factor and company health factor these four most important factors to represent most original financial aspect most parts information, and uses weighted situation to calculate Chinese sports industry listed companies operation performance comprehensive scoring situation, finally draws scores ranking bar chart, the result is that X-step, Li Nig, Peak benefit earning factor scores are the highest in eight companies; China Dongxiang, Toread, X-step, Anta scores are highest in company development growth factor; average value in company operation factor, company development factor, company benefit earning factor and company health factor these four aspects being positive numbers are from Peak and X-step, which proves that Peak company and X-step development conform to social demands, company operation is better. All other six companies' operation results are not balanced enough; finally, it puts forward suggestions on companies' better running. Copyright © 2016 American Scientific Publishers All rights reserved.


Wang P.,Anhui University of Finance and Economics
International Journal of Digital Content Technology and its Applications | Year: 2010

Data mining is the extraction of interesting patterns or knowledge from huge amount of data. In recent years, with the explosive development in Internet, data storage and data processing technologies, privacy preservation has been one of the greater concerns in data mining. A number of methods and techniques have been developed for privacy preserving data mining. This paper provides a wide survey of different privacy preserving data mining algorithms and analyses the representative techniques for privacy preserving data mining, and points out their merits and demerits. Finally the present problems and directions for future research are discussed.


Zhuang K.,Anhui University of Finance and Economics
Electronic Journal of Differential Equations | Year: 2014

In this article, we study a three species food chain model on time scales, with Monod-Haldane functional response and time delay. With the help of coincidence degree theory, we establish the existence of periodic solutions. © 2014 Texas State University - San Marcos.


Wang K.,Anhui University of Finance and Economics | Zhu Y.,Anhui University of Finance and Economics
Nonlinear Analysis: Real World Applications | Year: 2013

In this paper, by utilizing the continuation theorem and the comparison theorem, and constructing a suitable Lyapunov functional, a delayed prey-predator system with mutual interference and impulses is studied. Some sufficient conditions are established for the existence of positive periodic solutions, permanence and global attractivity of the system. The conditions obtained are related to the interference constant m, delays and impulses. An example is given to show the feasibility of the results. © 2012 Elsevier Ltd. All rights reserved.


Aim: ng at the evaluation of environmental damages, we proposed a dynamic evaluation approach based on the optimal cluster criterion. Firstly, a method for sample data standardization was introduced. After determining the measurement of damage grade, we applied the system cluster analysis approach to classify the grades of corresponding environmental pollution events. Then, the optimal cluster level was evaluated based on the optimal clustering criterion. By using the marine environmental damages caused by 17 marine oil spill events as a sample, we tested the dynamic evaluation method proposed in this article with its practicability. Further, by comparing it with some traditional damage evaluation methods, we found that their evaluation results were consistent. All these have shown that the dynamic evaluation approach proposed in this paper can meet the requirement of environmental damage evaluation. Finally, directions of future researches were pointed out. © 2014 Elsevier Ltd.


Wang P.,Anhui University of Finance and Economics
Journal of Computational Information Systems | Year: 2011

Anonymity is an essential technique to preserve individual privacy information in data releasing setting. However, most existing anonymous methods focus on the universal approach that exerts the same amount of preservation for all individuals. The result is that the released data may offer insufficient protection to a subset of people, while applying excessive privacy control to another subset. In addition, those methods using generalization and suppression techniques suffer from high information loss and low usability mainly due to reliance on pre-defined generalization hierarchies or total order imposed on each attribute domain. To address this issue, we develop a new personalized anonymity algorithm using clustering techniques. Experimental results show that the proposed method can reduce the information loss and improve the usability of the released data while satisfying everybody's privacy preserving requirements. Copyright © 2011 Binary Information Press.


Wang K.,Anhui University of Finance and Economics
Nonlinear Analysis: Real World Applications | Year: 2011

In this paper, a predator-prey system with mutual interference is studied. Some sufficient conditions are obtained for permanence and global asymptotical stability of the system by using the comparison theorem and constructing a suitable Lyapunov function. It is significant that the mutual interference m, in Theorems 4.1 and 4.2, is allowed to be any real-valued number in interval (0, 1), which improves the corresponding results in Wang and Zhu (2008) [14], Wang (2009) [13], Lin and Chen (2009) [16] and Wang, Du and Liang (2010) [17] (where the mutual constant m needs to be a rational number). Moreover, it solves the open problem posed by Lin in [16]. © 2010 Elsevier Ltd. All rights reserved.


Wang K.,Anhui University of Finance and Economics
Nonlinear Analysis: Real World Applications | Year: 2011

In this paper, a delayed predatorprey model with HassellVarley type functional responses is studied. Some sufficient conditions are obtained for the existence of positive periodic solutions to it by applying the coincidence degree theorem. It is interesting that the result is based on the delay, which is different from the previous work (the results are delay-independent). Furthermore, the simulation shows that some conditions are sharp. © 2010 Published by Elsevier Ltd. All rights reserved.


Wang K.,Anhui University of Finance and Economics
Mathematical Methods in the Applied Sciences | Year: 2011

In this paper, a kind of neutral functional differential system with multiple deviating arguments is considered. By means of Mawhin's coincidence degree theory and Lyapunov method, a sufficient condition is obtained for guaranteeing the existence and global attractivity of periodic solution for the system. It is interesting that the result is related to the multiple deviating arguments τi(i = 1, 2, ⋯, m). An example is given to show the feasibility of the result in the last section. Copyright © 2011 John Wiley & Sons, Ltd.


Song M.,Anhui University of Finance and Economics | Guan Y.,Anhui University of Finance and Economics
Ecological Indicators | Year: 2014

With the implementation of the strategic policy and the construction of Wanjiang demonstration area recently, the government cares more about the natural environment. To protect the environment of this demonstration area, a quantitative analysis of environmental efficiency and its influencing factors is needed. In this paper, we measure the environmental efficiency of the demonstration area, and then analyze the total factor productivity of the area by Malmquist productivity index through data envelopment analysis (DEA) approach. Through the index and its decomposition, we are able to reveal the changing trend of the environmental efficiency. Moreover, we apply Bayesian estimation approach to analyze the influencing factors of the efficiency and discuss the relationship between these factors and the environmental efficiency. Results show that the efficiency of Wanjiang demonstration area bares a significant difference among constituent cities. Each area should devise proper environmental policy according to its particular circumstance. © 2013 Elsevier Ltd.

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