In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using concept...In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.展开更多
The traditionary point considers the stratagem relationship of SCP （supply chain partnership） which can be strengthened mutual relationship with supplies by holding the same stratagem to enhances performance of supp...The traditionary point considers the stratagem relationship of SCP （supply chain partnership） which can be strengthened mutual relationship with supplies by holding the same stratagem to enhances performance of supply chain management. At present, many scholars have studied this relationship more and more, but much papers are not satisfyingly explain complex relationship with supplies. Because the more complex and the more dynamic the market changes, the more flexile the custom demand. So the tradition point faces new challenge, which relationship with supplies not only has the same stratagem based on long-profit but also has more flexile for adapting demand of market. In this paper, we use theory of biology and complex adaptive system （CAS）, points out the new relationship model called co-evolution relationship of SCP.展开更多
基金Project(08SK1002) supported by the Major Project of Science and Technology Department of Hunan Province,China
文摘In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.
文摘The traditionary point considers the stratagem relationship of SCP （supply chain partnership） which can be strengthened mutual relationship with supplies by holding the same stratagem to enhances performance of supply chain management. At present, many scholars have studied this relationship more and more, but much papers are not satisfyingly explain complex relationship with supplies. Because the more complex and the more dynamic the market changes, the more flexile the custom demand. So the tradition point faces new challenge, which relationship with supplies not only has the same stratagem based on long-profit but also has more flexile for adapting demand of market. In this paper, we use theory of biology and complex adaptive system （CAS）, points out the new relationship model called co-evolution relationship of SCP.
