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For researching the regional competition and the industrial cluster growth situation of Dalian City, the paper regards the characteristic industry clusters as an innovative viewpoint. Through combining the fuzzy cluster model with the AHP method the paper builds the identification and decision mechanism of characteristic industry clusters. To the example of petrochemical industry cluster the paper analyzes mathematically the 10 industry cluster items that Dalian cultures and develops importantly. Under the base of above, from the system optimal viewpoint the 8 regional characteristic industry clusters are selected which may possess the most cultural value and development future. And eventually decision references are provided to the growth and future tendency of Dalian characteristic industry clusters.

The rapid progress of information technology and the widely utilization of network technology promote the growth of digital company. For resulting the competitive and cooperated relation among participants in the dynamic alliance of digital company, game model is established, and the game mechanism as while as the game analysis are proposed to clarify the complex relation in the digital network structure. Finally, in the four game models the cooperation-cooperation game model is proved the optimal resolve means.

Customer value is the primary characteristic of an enterprise's core competitiveness. A customer value oriented supply chain management is able to produce competitive cost and time advantages, as well as solving problems in convergence, coordination and information sharing during the creation and transfer of value, by implementing resource sharing and collaboration between members in the supply chain. This paper starts by defining the connotation of customer value, and then utilizes models to analyze the mechanism of customer value creation via supply chain management. It is proposed that a customer value oriented supply chain management should aim to enhance customer perceived benefits and reduce customer perceived sacrifices, in order to maximize customer value through ways of supply chain designing, product selection and business process reengineering etc.

The Polarimetric Whitening Filter (PWF) method for speckle reduction in polarimetric synthetic aperture radar (SAR) is stated with some traditional covariance matrix parameter estimate methods. Aimed at their defects in parameter estimation, an enhanced auto-adaptive edge-detection method for parameter estimating is presented. Because of the lack of point target and line detection in the above-mentioned methods, a new parameter estimation method is then introduced. Finally, results of the above-mentioned methods applied in PWF are submitted. Detail analyses and comparisons are also given. It is proved that the new parameter estimation method is the most robust.