Life Cycle of Chinese Public Company and Competence Strategy Research

From start-up, growth, maturity to decline, a company will experience a complicated process, in which the company needs to change its anticipated objective, structure and business model with the variation of environment, in order to survive and gain sustainable development. Based on an enterprise＇s life-cycle theory, this paper makes use of both qualitative and quantitative models to do an empirical study on measurement of the life-cycle of 1135 Chinese public companies from 1991 to 2002, both FoxPro and SAS programs are used to process data. At the end of the paper, the author comes up with a company＇s value goals and relevant competence strategies in every stage of life cycle, with the purpose to promote the Chinese public companies＇ sustainable development.     

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.     

The Technology Selection and Critical Successful Factors in the Information Technology （IT） Growth of Manufacturing Corporations in China

With the rapid development of the information technology （IT） and the more competitive environment of the corporations, IT is not only important for the enterprises tactically but also strategically, We extend the concept of the critical success factors （CSF） and Nolan＇s stages theory to identify the IT issues and measure their CSF of the manufacturers in China. We put forward the IT selection matrix based on Nolan＇s stages theory to analyze the IT application in manufacturers in Beijing based on our survey. We analyze the development of IT, IT selection strategy and the CSF influencing the IT growth of manufacturers in China.     

Optimization approach of background value and initial item for improving prediction precision of GM（1,1） model

A combination method of optimization of the back-ground value and optimization of the initial item is proposed. The sequences of the unbiased exponential distribution are simulated and predicted through the optimization of the background value in grey differential equations. The principle of the new information priority in the grey system theory and the rationality of the initial item in the original GM（1,1） model are ful y expressed through the improvement of the initial item in the proposed time response function. A numerical example is employed to il ustrate that the proposed method is able to simulate and predict sequences of raw data with the unbiased exponential distribution and has better simulation performance and prediction precision than the original GM（1,1） model relatively.     

Study on a Evaluation Method of Vendorst

Based on the background of vendors＇ selection in supply chain management, the theory of entropy is adopted to filter the criteria. With the combination of data envelopment analysis（DEA） model, it can not only to eliminate the exclusive information of criteria, but it can keep the advantages of DEA model as well, which can conveniently conduct to automatic data collection and going on an objective evaluation of the priority of vendors.     

Modeling mechanism and extension of GM （1, 1）

Firstly,the research progress of grey model GM(1,1) is summarized,which is divided into three development stages: assimilation,alienation and melting stages.Then,the matrix analysis theory is used to study the modeling mechanism of GM(1,1),which decomposes the modeling data matrix into raw data transformation matrix,accumulated generating operation matrix and background value selection matrix.The changes of these three matrices are the essential reasons affecting the modeling and the accuracy of GM(1,1).Finally,the paper proposes a generalization grey model GGM(1,1),which is a extended form of GM(1,1) and also a unified form of model GM(1,1),model GM(1,1,α),stage grey model,hopping grey model,generalized accumulated model,strengthening operator model,weakening operator model and unequal interval model.And the theory and practical significance of the extended model is analyzed.     

Gaussian Mixture Statistics Model Based on Automatic Inspection System Used in ITS

The ITS is becoming more and more important in the economic development of China. But most of the ITS used in Chinese major cities need the human to perform the supervision task. As a result, it consumes too much human resources, and also can not achieve the satisfied supervision performance. Thus, in this paper, we will propose an automatic inspection system based on the Gaussian mixture statistics model to alleviate this kind of problem. The proposed method will utilize a Gaussian Mixture model to model the background, and then use the EM algorithm to update the model＇s coefficients frame by frame to make the model adapt to the changing environment. After successful modeling, we can extract out the foreground blocks from background blocks, and finally trigger the automatic alarming system by calculating the number of foreground blocks. From the experiment results, our proposed method can achieve considerable good results.     

Local prediction of the chaotic fh-code based on LS-SVM

Support vector machine （SVM） is powerful to solve some problems such as nonlinear classification, function estimation and density estimation. To consider the chaotic fh （frequency hopping）-code＇s characters in chaotic dynamic system, the forecasting model of the support vector machine in combination with Takens＇ delay coordinate phase reconstruction of chaotic times is established and the least squares model for large-scale problems is used in local training for this model. Finally, a fh-code series generated by Logistic-Kent mapping is applied to verify the local prediction model. Simulation results show that the high accuracy and fault tolerant SVM model has an excellent performance in predicting the fh code, with a very low mean square error and a high relative coefficient.     

A New Grey Model Based on Optimizing the Grey Derivative and the Background Value at the Same Time

Based on both white response and connotation expression are geometric progression in the most primitive grey differential equation of GM（1,1）x（k） （k）＋ ax（1） （k） = b, this paper begins with generation of the time response .function＇s grey derivative at discrete points. Through derivative＇s definition, establishing a new GM（1,1） by optimizing grey derivative and background value. Then, getting the best coefficient c by introducing criterion function and it has proved that the new expression has the whitened exponent law coincident property and the whitened coefficient coincident property in theory. Finally, some examples show the new model has higher prediction precision.     

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

The construction method of background value is improved in the original multi-variable grey model (MGM(1,m)) from its source of construction errors.The MGM(1,m) with optimized background value is used to eliminate the random fluctuations or errors of the observational data of all variables,and the combined prediction model together with the multiple linear regression is established in order to improve the simulation and prediction accuracy of the combined model.Finally,a combined model of the MGM(1,2) with optimized background value and the binary linear regression is constructed by an example.The results show that the model has good effects for simulation and prediction.     

Rebuilding of the Diamond Model Based on Evolutionary Economics and Demonstration of Industrial Clusters in China

The Industrial Clusters show more competitive advantage in the world obviously since 1970＇s, which attracts extensive attention from all over the world. As the most important researches of the New Economic Geography, Poter＇s diamond model generalizes the internal mechanism of clusters, but the model has not given the microcosmic status of the factors of the clusters, therefore, it is significant to go deeper into the diamond model and the dissertation wishes to do some researches deeply. Based on the actuality of research, this paper surveys Porter＇s diamond model from the Evolutionary Economics, and combines the research of the field with the instance in China, then puts forward the diamond model of twin-screw and implements the model into traditional industrial clusters in Zheiiang province. Detailed explaining is as follows. The main innovations of the dissertation are as follows： （1） having taken the points of biology into economics, and developing the Evolutionary Economics creatively; （2） having proved the diamond model, put forward a twin-screw microcosmic model for the first time, and tried to study the dynamic and solid relationships of each factor in the diamond model, which is the most important innovation of the dissertation.     

Appraisal on the Regional Technological Innovation Ability Based on Unascertained Measure Method

In market economics, the regional technological innovation ability has become an important factor in the sustainable development of this region and important position in the region＇s competition. In this paper, the application of unascertained measure method in the ability of the regional technological innovation is studied. The appraisal index system is setup and the unascertained measure model is given . At last, an example is given to verify the theory model.     

Research on consistency measurement and weight estimation approach of hybrid uncertain comparison matrix

The consistency measurement and weight estimation approach of the hybrid uncertain comparison matrix in the analytic hierarchy process （AHP） are studied. First, the decision-making satisfaction membership function is defined based on the decision making＇s allowable error. Then, the weight model based on the maximal satisfactory consistency idea is suggested, and the consistency index is put forward. Moreover, the weight distributing value model is developed to solve the decision making misleading problem since the multioptimization solutions in the former model. Finally, the weights are ranked based on the possibility degree approach to obtain the ultimate order.     

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.     

Stability of GM(1,1) power model on vector transformation

The morbidity problem of the GM(1,1) power model in parameter identification is discussed by using multiple and rotation transformation of vectors. Firstly we consider the morbidity problem of the special matrix and prove that the condition number of the coefficient matrix is determined by the ratio of lengths and the included angle of the column vector, which could be adjusted by multiple and rotation transformation to turn the matrix to a well-conditioned one. Then partition the corresponding matrix of the GM(1,1) power model in accordance with the column vector and regulate the matrix to a well-conditioned one by multiple and rotation transformation of vectors, which completely solve the instability problem of the GM(1,1) power model. Numerical results show that vector transformation is a new method in studying the stability problem of the GM(1,1) power model.     

Improved unequal interval grey model and its applications

A new method to improve prediction precision of GM(1,1) model with unequal time interval is presented.The grey derivative is multiplied by a parameter to guarantee the time response function satisfying approximately exponential function distribution.To simplify the process of parametric estimation,an approximate value is taken for the multiplied parameter.Then the estimators of coefficient of development and grey action quantity can be derived.At the same time,the principle of the new information priority is also considered.We take the last item of the first-order accumulated generation operator(1-AGO) on raw data sequence as the initial condition in the time response function.Then the new information can be taken full advantage of through the improved initial condition.Some properties of this new model are also discussed.The presented method is actually a combination of improvement of grey derivative and improvement of the initial condition.The results of an example indicate that the proposed method can improve prediction precision prominently.     

Grey Dynamic Model,Forecasting & Comparison on the Development Trend in Track & Field Sports of Asia & the World

By establishing grey dynamic model and adopting its method,this essay makes forecastand comparison on the developing trend in trach and field sports of Asia and the world.To higherthe model's precise,some sequential data are processed by slide mean value,a Maclourin Exponsionis made to some exponents of less adaptable response function and acceptance or rejection is madeaccording to the fitting mode of the number series and their development.In the quatitative analysis,the first locus of the developing coefficient of the model in the sports field is the main basis.Theanalysis indicates that women's and men's field sports in Asia are developing respectively much faster,a little faster than that of the world,but men's track sports in Asia are progressing paralled to thatof the world, and women's track in Asia remains behind.     

New conflict representation model in generalized power space

The study on alternative combination rules in Dempster-Shafer theory (DST) when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The earlier researches have mainly focused on investigating the alternative which would be appropriate for the conflicting situation, under the assumption that a conflict is identified. However, the current research shows that not only the combination rule but also the classical conflict coefficient in DST are not correct to determine the conflict degree between two pieces of evidences. Most existing methods of measuring conflict do not consider the open world situation, whose frame of discernment is incomplete. To solve this problem, a new conflict representation model to determine the conflict degree between evidences is proposed in the generalized power space, which contains two parameters: the conflict distance and the conflict coefficient of inconsistent evidences. This paper argues that only when the conflict measure value in the new representation model is high, it is safe to say the evidences are in conflict. Experiments illustrate the efficiency of the proposed conflict representation model.     

The Characteristic of Enterprise Systems Engineering in the New Economic Era and Its Innovation

This paper reviewed the mode and optimization of the traditional enterprise＇s system engineering management briefly by combining the new situation of economy in the 21st century, pondered over its development and optimization in the new century, explored its new development and optimization under the new situation of economy.     

Reliability analysis of torpedo loading based on fractional-order optimization model

A fractional-order cumulative optimization GM(1,2)model based on grey theory is proposed to study the relationship between torpedo loading and working reliabilities. In this model, the average relative error function related to order and background value is established. Taking the average relative error function as the objective function, the optimal value of the two parameters is obtained through the optimization method,and the minimum value of the average relative error is determined. The calc...