Yang Chunjie

Applying the Model of Game with Fuzzy Coalition to the Optimum Configuration of Cooperation Supply Chain

At the time of negotiation of the configuration of cooperative supply chain, the potential agents have only a vague idea about the expected gains of the coalitions, so distribution of the gains can be vague, imprecise, and uncertain. Therefore, this paper applies a new model, the model of game with fuzzy coalitions, to the problem of configuration of CSC. The theorems of trapezoid fuzzy number are used to construct a coalition membership function. In the final, a case study is presented to demonstrate the application of the model in this paper.

Design of Distributed Data Warehouse for Sales Decision of Large-scale Clothing Enterprise

As a result of geographical location and management model, large-scale clothing corporations have expressed their requirements for distributed data management and multi-hierarchy decision support. Based on large-scale clothing corporations, the paper proposes a model of distributed data warehouse for sales decision support system in clothing industry, and illustrates some key techniques in designing data warehouse. The paper also proposes a solution for data transmission from local data warehouse to main data warehouse using the technology of Web service, and gives an actualization of Web-oriented OLAP.

A VSC scheme for linear MIMO systems based on SVM

A variable structure control (VSC) scheme for linear MIMO systems based on support vector machine (SVM) is developed. By analyzing the characters of linear MIMO system, a VSC scheme based on Exponent Reaching Law is adopted to track desired trajectory. Then one input of the system is trained as the output of SVM, while sliding mode function, differences and other inputs of the system are trained as the inputs of SVM. So one VSC input of the black-box system could be obtained directly by trained SVM after other inputs of the system are selected manually, and recognition of system parameters is avoided. A linear MIMO system is used to prove the scheme, and simulation results show that this scheme has high identification precision and quick training speed.A variable structure control (VSC) scheme for linear MIMO systems based on support vector machine (SVM) is developed. By analyzing the characters of linear MIMO system, a VSC scheme based on Exponent Reaching Law is adopted to track desired trajectory. Then one input of the system is trained as the output of SVM, while sliding mode function, differences and other inputs of the system are trained as the inputs of SVM. So one VSC input of the black-box system could be obtained directly by trained SVM after other inputs of the system are selected manually, and recognition of system parameters is avoided. A linear MIMO system is used to prove the scheme, and simulation results show that this scheme has high identification precision and quick training speed.