Catálogo de publicaciones - libros

Microarray experiments are used to perform gene expression profiling on a large scale. The focus of this study is on the efficiency of statistical design for single factor cDNA two-color microarray experiments. Relative efficiencies of proposed designs in Yang ([13]) are studied within the framework of incomplete block designs as well as row-column designs. Such efficiencies are investigated under fixed and mixed analysis of variance models. Furthermore, a real data analysis is conducted.

Data mining is a useful tool to draw useful information from large database. In scientific research organizations evaluation, there exists a problem of using the same criteria to evaluate different types of research organizations. In this paper we propose a clustering method to make classification of the scientific research organization of CAS, and then according to this classification we evaluate the scientific research organization using the annual evaluation database of CAS to test our method.

A model of scenario-based line capacity expansion problem for PWB (Printed Wiring Board) assembly systems at the aggregate level is developed. The model synthesizes BOM (Bill Of Material) of product families and machine operation flexibility, thus it is an attempt of integrating strategic capacity planning, aggregate production planning and MPS (Master Production Scheduling), which is an important research topic of production management. Since the resulting model is a large-scale two-stage stochastic mixed integer programming problem, it can not be solved with standard code. An approximate solution procedure is developed, which first reduces the searching space of capacity expansion decision variables to rough addition sets by heuristics, then the rough addition sets are searched through adaptive genetic algorithms. Numerical experiments are presented to show the financial benefit of the model and the feasibility of our approach.

The early and reliable detection and deterrence of malicious attacks, both from external and internal sources are a crucial issue for today’s e-business. There are various methods available today for intrusion detection; however, every method has its limitations and new approaches should still be explored. The objectives of this study are twofold: one is to discuss the formulation of Multiple Criteria Quadratic Programming (MCQP) approach, and to investigate the applicability of the quadratic classification method to the intrusion detection problem. The demonstration of successful Multiple Criteria Quadratic Programming application in intrusion detection can add another option to network security toolbox. The classification results are examined by cross-validation and improved by an ensemble method. The results demonstrated that MCQP is excellent and stable. Furthermore, the outcome of MCQP can be improved by the ensemble method.

Behavior analysis of credit cardholders is one of the main research topics in credit card portfolio management. Usually, the cardholder’s behavior, especially bankruptcy, is measured by a score of aggregate attributes that describe cardholder’s spending history. In the real-life practice, statistics and neural networks are the major players to calculate such a score system for prediction. Recently, various multiple criteria linear programming based classification methods have been explored for analyzing credit cardholders’ behavior. This paper proposes a multiple criteria non-linear programming (MCNP) approach to discovering the bankruptcy patterns of credit cardholders. A real-life credit database from a major US bank is used for empirical study on MCNP classification. Finally, the comparison of MCNP and other known classification methods is conducted to verify the validation of MCNP method.

Data mining is widely used in today’s dynamic business environment as a manager’s decision making tool, however, not many applications have been used in accounting areas where accountants deal with large amounts of operational as well as financial data. The purpose of this research is to propose a multiple criteria linear programming (MCLP) approach to data mining for bankruptcy prediction. A multiple criteria linear programming data mining approach has recently been applied to credit card portfolio management. This approach has proven to be robust and powerful even for a large sample size using a huge financial database. The results of the MCLP approach in a bankruptcy prediction study are promising as this approach performs better than traditional multiple discriminant analysis or logit analysis using financial data. Similar approaches can be applied to other accounting areas such as fraud detection, detection of tax evasion, and an audit-planning tool for financially distressed firms.

In this paper, we explore the role of vertical cooperative (co-op) advertising efficiency of transactions between a manufacturer and a retailer. We address the impact of brand name investments, local advertising, and sharing policy on co-op advertising programs. Game theory concepts form the foundation for the analysis. We begin with the classical co-op advertising model where the manufacturer, as the leader, first specifies its strategy. The retailer, as the follower, then decides on its decision. We then relax the assumption of retailer’s inability to influence the manufacturer’s decisions and discuss full coordination between the manufacturer and the retailer on co-op advertising. Two alternative bargaining models are employed to select the best co-op advertising scheme for achieving full coordination.

How to develop the capability of an enterprise is a vital problem to many knowledge based enterprises. This paper argues that an enterprise can achieve dynamic development of its capabilities by constructing cooperative knowledge network (CKN). The network can provide the enterprise with multiple learning opportunities and the enterprises in the network can dig out, acquire and exploit all kinds of knowledge resources in the network. Development of the enterprise’s capability needs an established basic capability as the foundation together with sustainable learning ability and transformation capability. Based on theoretical analysis, a case is discussed about a high-tech enterprise, Nanjing SVT Group, constructing the CKN for IC design. The paper concludes that construction of CKN is an effective way to acquire internal and external knowledge to improve the capability of the enterprise.

General application of information technology leads to modern corporate information mechanism. With this mechanism corporation can make full use of knowledge resource, improve managing efficiency and make corporate performance better. But on the other hand, competition among corporations also becomes more drastic under the unifying trend of global economy. This paper gives a brief view of some characteristics of knowledge and information. We show what constitutes corporate stratagem. In our analysis, corporate dominance comes from knowledge management and knowledge innovation. All of it involves collecting, processing, innovating and utilizing information and knowledge resource. To success, corporation must turn to knowledge management and knowledge innovation. From this point of view, we put forward two arrangements for corporation to win dominance in drastic market competition. The first is about practice of knowledge management in corporate activity. The other is strategic framework of corporate management and competition based on knowledge management.

The paper presents a framework for integrating experts’ opinions from the view of systematic optimization, considering factors of consistency or harmony and reliability of all experts’ opinions. The characteristics of consistence of experts’ opinions are defined based on statistics. The reliability function of expert’s opinion is designed and the measurement of the reliability of integration result of all experts’ opinions was then conducted. A non-liner programming model is set up to get the optimal scheme to correspond to the different experts’ opinions that consider systematically influences of the consistency, harmony and reliabilities at the same time. The independence of each expert’s opinion were not only kept but also, well preserved.