The Analysis of the Auction Disposal and Pricing Decision of AMC＇s Non-performing Assets with Game Theoryd

Based on the analysis of the characteristics of AMC＇s non-performing asset auction, this paper puts forward a model of AMC＇s non-performing asset disposal with the Game Theory thinking, explored the Nash Equilibrium solution to the pricing model of AMC＇s non-performing asset auction, discussed the impact of the actual value of non-performing assets, auction disposal costs and other relevant elements on auction price, analyzed the pricing and decision-making mechanism of AMC＇s non-performing asset auction with Game Theory, and provided a theoretical guide for AMC to auction the non-performing assets in practice.     

Control of Chaos in Lu System Subject to Mismatch Uncertainties Using Sliding Mode Design

A strategy is proposed to control Lu It is implemented by using sliding mode control system with mismatch uncertainties. The proposed controller ensures the occurrence of the sliding mode motion. It is guaranteed that under the proposed control law, the system state can be regulated to a specific point or in a predictable neighborhood of desired points in the state space even with mismatch uncertainties. Simulation results have illustrated the effectiveness and robustness of the proposed schemes even though the control input is nonlinear.     

Personal Credit Risk .Scoring Model Based on Rough Set and Neural Network

In order to improve the precision of personal credit risk assessment, applying rough set and neural network to the credit risk scoring prediction problem in an attempt to suggest a new model with better classification accuracy. To evaluate the prediction accuracy of the model, we compare its performance with those of SVM, linear discriminate analysis, logistic regression analysis, K-nearest neighbors, classification and regression tree, neural network and PCA-NN. The experimental results show the model have a very good prediction accuracy     

Algorithm Research on the Influence of Traffic Environmental Variation to City Radiation Scope Based on P.D.Converse Breaking Points Model

By analyzing and comparing the existing methods for the division of urban economic region, this paper supplemented and developed the breaking point theory. In this model, put forward for the first time using ＂the space-time distance＂ to replace ＂the space- linear distance＂ and ＂the city comprehensiveness quality- fuzzy comprehensive assessment Index＂ to ＂the urban population or GDP＇. Set up the algorithm of including ＂the space- time distance＂ and the city radiation scope changed with the changes of traffic conditions. Thus has realized ＂dynamically＂ tracing of the city radiation scope influenced by the traffic conditions. Taking Yichang city as an example, the paper analyzed the city function localization in the times of new traffic environments. Because China＇s cities are at the times of the traffic great changes, therefore, the method and the main conclusions of this paper have some methodology guiding sense to the majority cities of deffernt country to re-position.     

Closed-loop Supply Chain Systems Constructed by 4PL and Performance Evaluation by Using Exergoeconomics

This paper introduces a new concept of 4PL, which is a contractor of the closed-loop supply chain coordination based on the division of community and the outsourcing development. The concept enriches the connotation of 4PL and broadens the thought for 4PL development. Secondly, according to the characteristics of the closed-loop supply chain in the different duration of the collaborative relationship and the dynamic characteristics of the closed-loop supply chaini we apply the fractal theory to establish a fractal system of 4PL coordinating closed-loop supply chain and propose different strategies for 4PL coordinating with different types of closed-loop supply chains in the various links of the system. Moreover, some strategic and proactive thinking are provided for 4PL＇s practices. Then based on the exergoeconomics theory, the closed-loop supply chain is regarded as a huge energy system with the new view, and the sustainability of the closed-loop supply chain system is discussed under the circumstance of exergoeconomics, and then the metric about “system negative environment effect” is introduced to measure the closed-loop supply chain system performance in the point of energy, a case study illustrates our conclusions.     

Assessment on System Reliability of Cable-stayed Bridges Based on Unascertained Measures

To overcome the shortcomings that there are few feasible methods and models in the comprehensive assessment on the system reliability of cable-stayed bridges, a mathematical tool-the unascertalned measure was introduced. First, the basic knowledge of the Unascertained Sets was introduced briefly. Second, the unascertained measure was defined and the comprehensive assessment model was set up. Then the method was introduced to the assessment of the system reliability of a cable-stayed bridge located in Tianjin City. Engineering practices shows that the method can complete the assessment systematically and scientifically without any assumption. The work has significance in theory and practice for the comprehensive assessment of bridge engineering.     

An Empirical Research on the Evolution Model of Competitiveness Between Different Life Cycle Stages in Chinese Enterprises

The characteristic of enterprise competitiveness is different between different life cycle stages. In this paper we surveyed the enterprise competitiveness＇s differences in various stages of the life cycle and the evolution model of three aspects of enterprise com- petitiveness as resource, capability and dynamic capability by questionnaire survey. The result shows that there are significant differences between different life cycle stages of en- terprise competitiveness in China. The enterprise competitiveness is stronger and stronger during the periods from the enterprise＇s birth to maturity, while in the enterprise＇s recession period the competitiveness becomes much weaker. The competitiveness＇s constitutive features in each stage are as follows： in the enterprise＇s born stage the enterprise is lack of resources and its competition mainly relies on the ability; in the enterprise＇s growth stage the enterprise＇s resources become richer and are as important as enterprise＇s ability in the constitution of enterprise competitiveness; in the maturity stage the enterprise＇s people, money and material resources all become very rich but the role of capability in enterprise competitiveness begins to decrease; in the enterprise＇s recession stage the en- terprise resources begin to exhaust, and the enterprise＇s competitiveness returns to rely on capability, and in this period the enterprise＇s learning ability, innovation ability and dynamic mechanisms perform worst, which will affect the enterprise＇s revival and lead to the ultimate death of enterprise. These conclusions have great value for reference to the enterprise＇s competitive strategy making for different life cycle stages.     

Strategic Bidding Model for Power Generation Company Based on Repast Platform

： The bidding strategies of power generations in the market are a dynamic and complex problem. It is difficult to analyze and compute with the traditional mathematical methods, which is conspicuous in the middle or long-term transactions. This paper pro- poses a modelity which is the middle or long-term bidding strategy in two-tiers electricity market that is based on the optimal power flow （OPF）. Uncertainties in the outside world are regarded as the agent （Agent） of ＂external environment.＂ Under this conditions, Agent through environment evaluation judges to select viable strategic. Through learning from experiences and opponent＇s behaviors, Agent guides the purpose of the best production. The adaptability and superiority of this model is tested based on Repast with a standard IEEE-5 bus 6 notes test system.     

Conditional Estimation of Wind Velocity Based on VAR Model

The vector autoregressive （VAR） model is established with the wind velocity data from four wind observations, which are established on the Sutong Bridge reach of the Changjiang River and in Changshu, Haimen and Nantong meteorological observation stations. Based on the VAR model, the result of Granger causality test indicated that there is Granger causality between most of the variables. Consequently the missing wind velocity values of Sutong bridge are estimated with the condition of the wind velocity data from the other three observatories, and the result of the conditional estimation is comparatively perfect.     

Automatic Correcting Control Method of RMG Based on Changeable Transducer Connection Form

By analyzing causes, damages and popular solutions for gnawing rail phenomenon of Rail-Mounted Gantry （shorted for RMG）, this article puts forward a kind of automatic correcting control system, the system can change between two transducer connection forms, and as a result, can prevent or decrease gnawing rail problem to a great extent. We present principles of correcting obliquity, sideward displacement of gantry frame and principles of malfunction diagnosis and some important schematic diagrams. The most significant feature of our system is that we can change transducers＇ connection form to respective or cross driving mode according to the extent of obliquity and sideward displacement of gantry frame, which make full use of both modes＇ advantages. As a result, the system not only can minish gnawing rail phenomenon, diagnose causes of gnawing rail and give an corresponding alarm, but also, in cross connection driving mode, has an unique capacity of preventing gnawing rail phenomenon utilizing its own characteristics under cross connection mode and gantry frame＇s rigidity.     

Robust Stabilization of Uncertain Linear Neutral Delay Systems

This note deals with stabilization of uncertain linear neutral delay systems. A new stabilization scheme is presented. Using new Lyapunov-Krasovskii functionals, less conservative stabilization conditions are derived for such systems based on linear matrix inequalities （LMI）. The results are illustrated using a numerical example.     

The Innovation Mode Selection Based on Value Chain Structure and Firm＇s Resource——Study of DTC＇s Wind Power

After reviewing the value chain theory and resource view theory, it is shown that the technological innovation selection of enterprise should keep to relative value structure and technical rules, at the same time takes their own resource and capability as ref- erence. In fact, it synthesizes the viewpoints of positioning school and resource school. A model for the selection path of innovation is founded and in which the theory analysis is deepened by means of example of development of Dongfang Turbine Co., Ltd. （DTC） wind power industry.     

CEO Compensation of Listed Companies in China

Recently many researches suggest that CEO compensation is not only related to performance. And this relation is non-linear. This paper analyzes CEO compensation, salary and stockholding value with BP neutral network with the data from listed companies during 2003--2005 in China. The results are： 1） The fitness of network outputs are 91.09%, 97：23% and 78.44% respectively; 2） The accurate of forecast improves 92.72%, 92.08% and 53.89% respectively comparing with the results of multi-regression model.     

A Study on Recombination Efficiency of Commercial Bank Branch Based on DEA Approach

For commercial bank branch, improving efficiency is very important for enhancement of overall efficiency and appraising efficiency is also an urgent problem to resolve. The paper compared the efficiency of recombining branch with the efficiency of no recombining branch of 23 commercial banks by using the approach of output-max CCR model of Data Envelopment Analysis （DEA）. According to the empirical results of the study, we can make some conclusions. Firstly, bank branch recombination is based on the comprehensive raising of human sources, pecuniary resources and material resources, and can be inefficient under the immature condition. Secondly, the efficiency of commercial banks can be improved enormously because their inner management and resource allocation in recombining are wasted largely. Thirdly, nowadays, commercial banks should emphasize on recomposing resources, mending technical ＆ managerial innovation and improving management level generally.     

Model and Algorithm of Transportation Problem on Network

Transportation problem on network needs to determine the freight quantity and the transportation route between supply point and demand point. Therefore, taken the uncertainty of freight supply and demand into account, a collaborative optimization model is formulated with transportation capacity constraint. In addition, a two-stage genetic algorithm （GA） is put forward. Herein, the first stage of this GA is adopted a priority-based encoding method for determining the supply and demand relationship between different points. Then supply and demand relationship which the supply and the demand are both greater than zero is a minimum cost flow （MCF） problem on network in the second stage. Aim at the purpose to solve MCF problem, a GA is employed. Moreover, this algorithm is suitable for balance and unbalance transportation on directed network or undirected network. At last, the model and algorithm are verified to be efficient by a numerical example.     

System of Systems Paradigm and Optimization Model

The concept of a ＂System of Systems＂ （SOS） describes a large system of mul- tiple systems --each capable of independent operation --that have been brought together to provide capabilities beyond those of each individual constituent system. Formulating and solving SoS design problem has become increasingly important, particularly in the aerospace and defense industries, as customers have begun to ask contractors＇ for broad capabilities and solutions rather than for specific individual systems. SoS design problem is determining the appropriate mix of both existing and yet-to-be-designed systems. This paper first defines what constitute a SoS. Next, it summarizes the current state-of-practice of System Engineering, and establishes what needs to be accomplished to perform SoS Engineering. Finally, it describes a multilevel, multistage approach to system of systems design optimization where system design is linked with system allocation along multistage decision making horizon, together with hierarchical mapping from technology space to system response in each system design stage.     

The Grid Algorithm of the Development Coefficient and the Combination Coefficient of Background Value in GM（1,1） Model

This article gives the algorithm of the sector in which the development coefficient is, and the steps to simultaneously calculate the development coefficient and combination coefficient of background value. Unifying the development coefficient and the background value＇s coefficient of combination to optimize the model together, avoiding the malpractice to separate the two in traditional method, and avoiding the error brought out by matrix multiplication because of matrix＇s illness and so on in the traditional way, therefore increases the precision of the model.     

One Kind of Effective Discrete Transformation on Converting the High Growth Series into the Low Growth One

To the transformation F（a（s））=a（s）/d^s,this paper brings out two kinds of ways to ascertain parameter d, one way, we let d be arithmetic average of class ration inverse, namely d1=1/n-1（y^（0）（2）/y^（0）（1）＋y^（0）（3）/y^（0）（2）＋y^（0）（4）/y^（0）（3）＋…＋y^（0）（n-1）/y^（0）（n-1）＋y^（0）（n）/y^（0）（n-1）.The other way, we let d be geometric average of class ration inverse, namely d2=（y^（0）（n）/y^（0）（1））^1/n-1.Through the close theory testifying, we find that the model given by this paper has white exponential law coincidence property, that is to say, if we build the model to the normal index, the result has not model error. At the same time, this paper points out, the request d 〉 1 is not appropriate to monotone decreasing series; even precision of model will decrease.     

Method of Chaotic Prediction Based on Wavelet BP Network and Its Application

The advantage of artificial neural network and wavelet analysis are integrated through replacing the traditional S-shaped activation function with the wavelet function. One method of chaotic prediction based on wavelet BP network was put forward based on the reconstruction of state space. Training data construction and networks structure are determined by chaotic phase space, and nonlinear relationship of phase points was established by BP neural networks. As an example, the new method was applied on short term forecasting of monthly precipitation time series of Sanjiang Plain with chaotic characteristics. The results showed so higher precision of the method had that the theoretical evidence would be provided for applying the chaos theory to study the variable law of monthly precipitation.